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Почему я отказался от облачных ASR и собрал инструмент для распознавания речи сам

Распознавание речи решает многие проблемы. Например, улучшает обслуживание клиентов за счёт автоматизированного анализа работы службы поддержки, ускоряет приём пациентов за счет заполнения документов голосом, решает проблемы управления и контроля. В целом распознавание речи облегчает общение между человеком и компьютером.

Если вам нужно распознавать речь, записанную в звуковых файлах или поступающую в реальном времени с микрофона или радиоприёмника, для этого есть готовые коммерческие сервисы. Однако им можно доверить не всё, например, по соображениям конфиденциальности, из-за отсутствия нужных вам возможностей или по другим причинам, о которых я напишу ниже.

Из этой статьи вы узнаете, как самостоятельно сделать автоматические системы распознавания речи ASR (Automatic Speech Recognition) с применением современных нейросетей и программ на Python. Эти системы смогут выделять спикеров при обработке звуковых файлов, а также распознавать речь в потоке, поступающую, например, от микрофона или радиоприёмника.

Очень кратко я упомяну о том, как устроено и работает человеческое ухо, расскажу, как пытались организовать распознавание человеческой речи. Затем перейду к практике, не углубляясь в теорию нейросетей.

Устройство человеческого уха

Человек очень легко разбирает речь, улавливая смысл сказанного. Но как он это делает?

Чтобы понять успех современных технологий распознавания речи, расскажу кратко об устройстве человеческого уха (рис. 1).

Рис. 1. Анатомия уха (источник)

Ушные раковины собирают звуковые волны и направляют их по наружному слуховому проходу к барабанной перепонке. За барабанной перепонкой находится среднее ухо, состоящее из трёх косточек — молоточка, наковальни и стремечка.

Стремечко передаёт механические колебания через овальное окно во внутреннее ухо — улитку, представляющую собой спиралевидный канал, заполненный жидкостью. Внутри улитки имеются мембраны и волосковые клетки, преобразующие механические колебания в электрические сигналы.

Человеческое ухо работает, подобно обычным микрофонам. Разумеется, устройство, физические принципы действия и сигналы на «выходе» человеческого уха не такие, как у обычных микрофонов.

Сигналы от уха по слуховому нерву поступают в мозг. Там они сначала обрабатываются в стволе мозга и в среднем мозге для анализа базовых характеристик. В результате ещё до осознанного восприятия определяется направление источника звука, усиливаются значимые сигналы и подавляются менее информативные компоненты.

Далее обработанный сигнал попадает в слуховую кору височной доли мозга, где звуковые последовательности интерпретируются как речь, музыка или шум.

Тем из вас, кто знаком с нейросетями, сразу будет видна аналогия.

Начальная обработка в стволе мозга и в среднем мозге выделяет простые характеристики звуковых сигналов, аналогично первым слоям свёрточных нейросетей, работающих со спектрограммами.

На уровне слуховой коры мозга признаки объединяются во времени, учитывается контекст и выполняется предсказание. Это похоже на работу рекуррентных сетей, трансформеров и attention-механизмов, где текущая интерпретация сигналов зависит от предыдущих состояний с учётом наиболее вероятного смысла.

Такие принципы реализуются в современных нейросетях, предназначенных для распознавания речи.

Как распознавали речь до появления нейросетей

Первые попытки распознавания речи предпринимались еще в 1950-1960 годы. Тогда удавалось распознавать только отдельные цифры путём сравнения аудиосигнала с заранее заданными шаблонами.

Далее в 1970-1980 годах стали применять статистические методы. Использовались алгоритмы для выравнивания звуковых последовательностей разной длины, чтобы можно было сравнивать слова с учётом скорости произношения. Но эти методы работали только для небольших словарей, при этом успех распознавания зависел от диктора.

С 1980 до 1990 года также применяли статистические методы с использованием сочетания скрытых Марковских моделей с моделями Гауссовых смесей. Были даже попытки создания систем непрерывного распознавания речи, таких как CMU Sphinx. Но эти модели требовали сложного ручного выделения признаков и больших фонетических словарей.

Сегодня успешного распознавания речи, в том числе непрерывного, удаётся добиться с помощью глубоких сетей DNN, RNN/LSTM и трансформеров. Нейросети резко улучшили качество распознавания, повысили точность и устойчивость к шуму. Это позволило применять технологию распознавания в промышленных масштабах, в домашних системах и даже в смартфонах.

Подробнее об истории распознавания речи можно прочитать в статье «Распознавание речи: очень краткий вводный курс». Также возможно вам будет интересна статья «Динамическое программирование в алгоритмах распознавания речи».

Нужен ли свой сервис распознавания речи

Зачем создавать собственную систему распознавания речи, когда на рынке есть немало готовых коммерческих сервисов?

Безопасность и независимость

Надо понимать, что коммерческие сервисы работают на оборудовании соответствующих компаний, и не всегда вы сможете развернуть их у себя.

В то же время при обработке разговоров, имеющих отношение к финансам, медицине, юридическим консультациям, содержащих коммерческую или государственную тайну, по соображениям безопасности необходимо использовать собственное оборудование для распознавания. Данные не должны покидать вашу инфраструктуру.

Создавая свою собственную систему распознавания речи, вы не зависите от провайдеров, их тарифов и ограничений, или технических сбоев. Вы также будете защищены от ухода выбранных сервисов с рынка.

За счёт выбора мощности оборудования, резервирования и дублирования вы можете сами определять нужный вам уровень доступности и производительности.

Экономия при больших объёмах обработки

Начальные вложения в собственную систему распознавания речи сильно зависят от требований. Одно дело обрабатывать предварительно записанные звуковые файлы, и совсем другое — распознавать речь в реальном времени во многих потоках сразу.

И если для обработки звуковых файлов, когда нет особых требований к скорости, можно использовать обычные компьютеры или даже микрокомпьютеры, то для распознавания речи в реальном времени и с хорошим качеством лучше использовать компьютеры или серверы с GPU.

Когда вы только начинаете или тестируете свои идеи, не обрабатывая чувствительную информацию, можно воспользоваться готовыми коммерческими сервисами. Есть также возможность арендовать серверы с мощными GPU с посекундной оплатой, установить там и проверить своё ПО перед тем, как вкладывать средства в собственное оборудование.

Потом, когда у вас будут большие объемы обработки, собственное оборудование может оказаться выгоднее сторонних сервисов, предполагающих оплату за время работы. Кроме того, собственное оборудование предполагает предсказуемые затраты, не зависящие от объема обработанных данных.

Настройка на свои задачи

На своей системе вы сможете настраивать модели и алгоритмы обработки исходя из ваших уникальных нужд.

Можно оптимизировать систему под конкретное оборудование, интегрировать свой сервис распознавания речи с другими вашими внутренними системами. В том числе с такими, которые не могут использовать коммерческие сервисы по соображениям конфиденциальности. Можно настроить систему под конкретные каналы связи, голоса и шумы, выбрать наиболее подходящую модель, обучить дополнительно модель на специфической лексике вашей предметной области и так далее.

Работа без интернета

Если по соображениям безопасности ваша сеть не подключена к интернету, коммерческие сервисы, предоставляющие свои услуги в их собственных дата-центрах, будут бесполезны. Однако вы сможете развернуть нужный сервис распознавания речи на серверах, установленные в ваших изолированных сетях.

Переходим к практике

На первом этапе мы установим ПО для распознавания речи, из звуковых файлов, таких как записи конференций, лекций, радиопередач или телефонных переговоров, например, службы поддержки с клиентами.

Сначала я расскажу, как такое распознавание можно сделать в среде ОС Microsoft Windows на обычном настольном компьютере, оборудованном видеокартой с GPU, а таже на ноутбуке. Затем я рассмотрю более профессиональное решение с применением серверов с GPU, позволяющее не только распознавать речь в файлах, но и выполнять так называемую диаризацию — выделение потоков речи отдельных спикеров.

Отдельно расскажу про возможность распознавания речи в звуковом сигнале от микрофона в реальном времени.

Проверим наличие и тип GPU

В ОС Microsoft Windows проще всего проверить наличие, тип и параметры GPU с помощью диспетчера задач. Откройте вкладку Производительность и перейдите в раздел GPU или Графический процессор (рис. 2).

Рис. 2. Проверка наличия и типа GPU в компьютере с ОС Microsoft Windows

В правом верхнем углу вы можете увидеть тип GPU (у меня это NVIDIA GeForce GTX 1650). У этого GPU на борту 4 ГБайта памяти. Кроме этого, здесь можно узнать объём видеопамяти и посмотреть, сколько памяти GPU занято.

Тип GPU, выпущенного NVIDIA, также можно узнать из командной строки:

c:\>nvidia-smi --query-gpu=name,memory.total,compute_cap --format=csv
name, memory.total [MiB], compute_cap
NVIDIA GeForce GTX 1650, 4096 MiB, 7.5

Для распознавания речи на Windows я использовал порт модели Whisper.cpp от OpenAI, и он может работать с таким GPU.

На другом компьютере (ноутбуке) у меня установлен GPU типа Intel Iris Xe Graphics, который, к сожалению, не поддерживается Whisper.cpp. Там распознавание речи через Whisper.cpp будет работать только на CPU (либо нужно использовать другие модели и ПО распознавания).

Модели для распознавания речи

Не будет преувеличением сказать, что качество распознавания речи в первую очередь зависит от используемой модели. Я расскажу о своих экспериментах с такими моделями:

Whisper –— продукт, созданный OpenAI;
Whisper.cpp — реализация Whisper для CPU и GPU на C/C++;
Faster-Whisper — оптимизированная реализация Whisper;
Parakeet v3 — модель автоматического распознавания речи от NVIDIA, способная работать в режиме реального времени. Модель parakeet-tdt-0.6b-v3 распространяется под лицензией CC-BY-4.0 (Creative Commons Attribution 4.0 International), разрешающей коммерческое и некоммерческое использование с указанием авторства

Заслуживают упоминания и другие модели, которые остались за бортом этой статьи, например:

Vosk — может работать не только на компьютерах, но и на микрокомпьютерах, таких как Raspberry Pi;
GigaAM-v3 — модель, оптимизированная для русского языка, в некоторых случаях работает лучше Whisper;
T-one — модель для потокового распознавания речи на русском языке

Сравнение этих и других моделей можно найти в статье «Открытые модели для распознавания русской речи 2025».

Запуск распознавания на CPU

Для начала установим ПО Whisper.cpp, собранное для распознавания речи на CPU. Для этого перейдите на страницу https://github.com/ggml-org/whisper.cpp/releases. Загрузите файл whisper-bin-x64.zip и распакуйте архив в каталог c:/whisper. Убедитесь, что в этом каталоге появился файл whisper-cli.exe.

Далее скачайте модели с этой страницы. Подойдёт модель ggml-large-v3.bin, но есть и модели меньшего размера ggml-medium.bin и ggml-small.bin. Файлы моделей запишите в каталог c:\whisper\models.

Модели небольшого размера потребуют меньше ресурсов, однако качество распознавания будет ниже.

Теперь вам понадобится звуковой файл с речью. Для Whisper.cpp лучше всего использовать монофонический wav-файл с кодеком PCM 16 бит и частотой дискретизации 16000 Гц. Вы можете записать такой файл с микрофона, например, при помощи программы Ocenaudio (рис. 3).

Рис. 3. Запись с микрофона в программе Ocenaudio

Ниже показаны результаты распознавания речи из небольшого файла, записанного в этой программе с микрофона:

cd C:\whisper
C:\whisper>whisper-cli.exe -m models\ggml-large-v3.bin -f c:\asr-fvds\input\from-mic.wav -l ru

whisper_init_from_file_with_params_no_state: loading model from 'models\ggml-large-v3.bin'
whisper_init_with_params_no_state: use gpu    = 1
whisper_init_with_params_no_state: flash attn = 1
whisper_init_with_params_no_state: gpu_device = 0
whisper_init_with_params_no_state: dtw        = 0
whisper_init_with_params_no_state: devices    = 1
whisper_init_with_params_no_state: backends   = 1
whisper_model_load: loading model
whisper_model_load: n_vocab       = 51866
whisper_model_load: n_audio_ctx   = 1500
whisper_model_load: n_audio_state = 1280
whisper_model_load: n_audio_head  = 20
whisper_model_load: n_audio_layer = 32
whisper_model_load: n_text_ctx    = 448
whisper_model_load: n_text_state  = 1280
whisper_model_load: n_text_head   = 20
whisper_model_load: n_text_layer  = 32
whisper_model_load: n_mels        = 128
whisper_model_load: ftype         = 1
whisper_model_load: qntvr         = 0
whisper_model_load: type          = 5 (large v3)
whisper_model_load: adding 1609 extra tokens
whisper_model_load: n_langs       = 100
whisper_model_load:          CPU total size =  3094.36 MB
whisper_model_load: model size    = 3094.36 MB
whisper_backend_init_gpu: no GPU found
whisper_init_state: kv self size  =   83.89 MB
whisper_init_state: kv cross size =  251.66 MB
whisper_init_state: kv pad  size  =    7.86 MB
whisper_init_state: compute buffer (conv)   =   36.15 MB
whisper_init_state: compute buffer (encode) =   55.35 MB
whisper_init_state: compute buffer (cross)  =    9.27 MB
whisper_init_state: compute buffer (decode) =   99.12 MB
system_info: n_threads = 4 / 24 | WHISPER : COREML = 0 | OPENVINO = 0 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | OPENMP = 1 | REPACK = 1 |

main: processing 'c:\asr-fvds\input\from-mic.wav' (259662 samples, 16.2 sec), 4 threads, 1 processors, 5 beams + best of 5, lang = ru, task = transcribe, timestamps = 1 ...

[00:00:00.000 --> 00:00:02.680]   Раз, два, три, четыре, пять.
[00:00:02.680 --> 00:00:04.320]   Вышел зайчик погулять.
[00:00:04.320 --> 00:00:06.340]   Вдруг охотник выбегает.
[00:00:06.340 --> 00:00:07.940]   Прямо в зайчика стреляет.
[00:00:07.940 --> 00:00:10.940]   Пиф-паф, ой-ой-ой, умирает зайчик мой.
[00:00:10.940 --> 00:00:12.840]   Принесли его домой.
[00:00:12.840 --> 00:00:14.420]   Оказался он живой.

whisper_print_timings:     load time =  2253.82 ms
whisper_print_timings:     fallbacks =   0 p /   0 h
whisper_print_timings:      mel time =    10.15 ms
whisper_print_timings:   sample time =   220.31 ms /   450 runs (     0.49 ms per run)
whisper_print_timings:   encode time = 19060.17 ms /     1 runs ( 19060.17 ms per run)
whisper_print_timings:   decode time =     0.00 ms /     1 runs (     0.00 ms per run)
whisper_print_timings:   batchd time = 10459.48 ms /   448 runs (    23.35 ms per run)
whisper_print_timings:   prompt time =     0.00 ms /     1 runs (     0.00 ms per run)
whisper_print_timings:    total time = 32169.96 ms

Качество распознавания — идеальное. Программа попыталась включить GPU (use gpu = 1), но в итоге GPU не найден, а для распознавания использовался CPU. Дело в том, что сначала я установил версию Whisper.cpp без поддержки GPU.

Общее время распознавания составило 32 секунды.

Запустим распознавание на wav-файле размером примерно 3 МБайт, полученного при записи передачи FM-станции.

cd C:\whisper
C:\whisper>whisper-cli.exe -m models\ggml-large-v3.bin -f 
c:\asr-fvds\input\input.wav -l ru

Приведу сокращённую выдачу команды:

Скрытый текст

whisper_init_from_file_with_params_no_state: loading model from 'models\ggml-large-v3.bin'
whisper_init_with_params_no_state: use gpu    = 1
whisper_init_with_params_no_state: flash attn = 1
…
main: processing 'c:\asr-fvds\input\input.wav' (1694870 samples, 105.9 sec), 4 threads, 1 processors, 5 beams + best of 5, lang = ru, task = transcribe, timestamps = 1 ...


[00:00:00.000 --> 00:00:01.820]   Ольга, как вы стали поэтом?
[00:00:01.820 --> 00:00:04.300]   Вы всё-таки мне конкретно не ответили.
[00:00:04.300 --> 00:00:05.660]   Могу, могу.
[00:00:05.660 --> 00:00:06.880]   Мы так увлек...
[00:00:06.880 --> 00:00:09.980]   Знаете, замечательно, когда можно говорить с человеком,
[00:00:09.980 --> 00:00:11.600]   с которым завихришься,
[00:00:11.600 --> 00:00:13.760]   и даже если не ответил на вопрос,
[00:00:13.760 --> 00:00:15.740]   а всё равно что-нибудь приятное
[00:00:15.740 --> 00:00:17.320]   и сказал, и вспомнил, и почувствовал.
[00:00:17.320 --> 00:00:19.340]   Спасибо. Нет, это правда.
[00:00:19.340 --> 00:00:21.780]   Для меня поговорить с человеком,
[00:00:21.780 --> 00:00:23.640]   с которым вот этот разговор был
[00:00:23.640 --> 00:00:26.180]   и содержателен, и эмоционален,
[00:00:26.180 --> 00:00:27.840]   и приятен, и грел изнутри,
[00:00:28.280 --> 00:00:30.680]   знаете, это вот удовольствие побольше многих.
[00:00:30.680 --> 00:00:32.500]   Скажу честно, что
[00:00:32.500 --> 00:00:34.680]   вот на фоне всего того, что я пробовала
[00:00:34.680 --> 00:00:36.540]   писать, ну, в школе там
[00:00:36.540 --> 00:00:38.700]   это совсем такое, ну, капустник
[00:00:38.700 --> 00:00:40.720]   на выпускной, на последний, у нас традиция
[00:00:40.720 --> 00:00:42.720]   была в этой самой школе, которую я заканчивала,
[00:00:42.720 --> 00:00:44.300]   выпускные классы
[00:00:44.300 --> 00:00:46.760]   закатывали большой-большой капустный, часа на два.
[00:00:46.760 --> 00:00:48.880]   Ну, а потом это всё писалось
[00:00:48.880 --> 00:00:50.820]   просто в стол для души, как отдушина.
[00:00:50.820 --> 00:00:52.000]   Особенно, повторюсь,
[00:00:52.000 --> 00:00:54.840]   вот уже когда стало понятно,
[00:00:54.840 --> 00:00:56.840]   что сначала ничего не понятно, а потом всё рухнуло.
[00:00:58.280 --> 00:01:00.000]   И, может быть, я не набралась бы
[00:01:00.000 --> 00:01:01.860]   оковянства вообще как-то это выносить
[00:01:01.860 --> 00:01:04.100]   на публику, если бы
[00:01:04.100 --> 00:01:05.860]   не познакомилась с Алексеем Дедуровым.
[00:01:05.860 --> 00:01:06.940]   Вот так.
[00:01:06.940 --> 00:01:09.320]   Да. Дело в том, что в редакции
[00:01:09.320 --> 00:01:11.420]   многотиражной газеты
[00:01:11.420 --> 00:01:14.040]   МВТУ имени Баумана, где я была тогда редактором...
[00:01:14.040 --> 00:01:15.740]   Угу. То есть у нас с вами ещё одна
[00:01:15.740 --> 00:01:17.100]   пуповинка образовывается.
[00:01:17.100 --> 00:01:20.020]   Да. Дело в том, что я бауманец по первому образованию.
[00:01:20.020 --> 00:01:21.820]   Вот. И с которой мы
[00:01:21.820 --> 00:01:23.420]   выиграли последний в истории
[00:01:23.420 --> 00:01:25.580]   Министерства образования СССР
[00:01:25.580 --> 00:01:28.080]   всесоюзный конкурс студенческих газет.
[00:01:28.280 --> 00:01:29.780]   Мы первое место тогда заняли.
[00:01:29.780 --> 00:01:31.460]   И вот, например, поэма
[00:01:31.460 --> 00:01:33.340]   «Ворошиловский стрелок Дедурова» впервые была
[00:01:33.340 --> 00:01:35.660]   публикована у Бауманца. Благодаря чему?
[00:01:35.660 --> 00:01:37.480]   Потому что в редакции работала Ленка Исаева.
[00:01:37.480 --> 00:01:39.980]   Вот. Это она ещё не была
[00:01:39.980 --> 00:01:41.580]   тогда не членом Союза писателей,
[00:01:41.580 --> 00:01:42.980]   а была моим корреспондентом.
[00:01:42.980 --> 00:01:45.120]   Я была редактором в свои 25 лет.

whisper_print_timings:     load time =  2266.38 ms
whisper_print_timings:     fallbacks =   0 p /   0 h
whisper_print_timings:      mel time =    55.18 ms
whisper_print_timings:   sample time =  1555.62 ms /  3324 runs (     0.47 ms per run)
whisper_print_timings:   encode time = 76276.59 ms /     4 runs ( 19069.15 ms per run)
whisper_print_timings:   decode time =   175.39 ms /     2 runs (    87.70 ms per run)
whisper_print_timings:   batchd time = 83947.35 ms /  3305 runs (    25.40 ms per run)
whisper_print_timings:   prompt time =  8592.33 ms /   623 runs (    13.79 ms per run)
whisper_print_timings:    total time = 173158.34 ms

Как видите, распознавание на CPU было выполнено за 173 секунды и довольно качественно.

Ускорим распознавание с помощью GPU

Для использования GPU на компьютере с Microsoft Windows и видеокартой NVIDIA скачайте архив whisper-cublas-12.4.0-bin-x64.zip, распаковав его в каталог C:\whisper-cuda\. Затем скопируйте модели в каталог C:\whisper-cuda\models.

Запустим распознавание сначала для небольшого файла from-mic.wav:

Скрытый текст

cd C:\whisper-cuda
C:\whisper-cuda>whisper-cli.exe -m models\ggml-large-v3.bin -f c:\asr-fvds\input\from-mic.wav -l ru
ggml_cuda_init: GGML_CUDA_FORCE_MMQ:    no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 1 CUDA devices:
  Device 0: NVIDIA GeForce GTX 1650, compute capability 7.5, VMM: yes
whisper_init_from_file_with_params_no_state: loading model from 'models\ggml-large-v3.bin'
whisper_init_with_params_no_state: use gpu    = 1
whisper_init_with_params_no_state: flash attn = 1
whisper_init_with_params_no_state: gpu_device = 0
whisper_init_with_params_no_state: dtw        = 0
whisper_init_with_params_no_state: devices    = 2
whisper_init_with_params_no_state: backends   = 2
whisper_model_load: loading model
…
whisper_model_load: CUDA0 total size =  3094.36 MB
whisper_model_load: model size    = 3094.36 MB
whisper_backend_init_gpu: using CUDA0 backend
…

main: processing 'c:\asr-fvds\input\from-mic.wav' (259662 samples, 16.2 sec), 4 threads, 1 processors, 5 beams + best of 5, lang = ru, task = transcribe, timestamps = 1 ...

[00:00:00.000 --> 00:00:02.680]   Раз, два, три, четыре, пять.
[00:00:02.680 --> 00:00:04.320]   Вышел зайчик погулять.
[00:00:04.320 --> 00:00:06.340]   Вдруг охотник выбегает.
[00:00:06.340 --> 00:00:07.940]   Прямо в зайчика стреляет.
[00:00:07.940 --> 00:00:10.940]   Пиф-паф, ой-ой-ой, умирает зайчик мой.
[00:00:10.940 --> 00:00:12.840]   Принесли его домой.
[00:00:12.840 --> 00:00:14.420]   Оказался он живой.

whisper_print_timings:     load time =  2965.71 ms
whisper_print_timings:     fallbacks =   0 p /   0 h
whisper_print_timings:      mel time =     9.60 ms
whisper_print_timings:   sample time =   146.28 ms /   450 runs (     0.33 ms per run)
whisper_print_timings:   encode time =  7960.13 ms /     1 runs (  7960.13 ms per run)
whisper_print_timings:   decode time =     0.00 ms /     1 runs (     0.00 ms per run)
whisper_print_timings:   batchd time = 12136.23 ms /   448 runs (    27.09 ms per run)
whisper_print_timings:   prompt time =     0.00 ms /     1 runs (     0.00 ms per run)
whisper_print_timings:    total time = 23438.64 ms

Как видите, на этот раз был использован GPU:

ggml_cuda_init: found 1 CUDA devices:
  Device 0: NVIDIA GeForce GTX 1650, compute capability 7.5, VMM: yes
whisper_init_from_file_with_params_no_state: loading model from 'models\ggml-large-v3.bin'

С GPU время распознавания составило 23 секунды, против 32 секунд работы только на CPU.

Теперь запустим распознавание на большом файле:

cd C:\whisper-cuda
whisper-cli.exe -m models\ggml-large-v3.bin -f 
c:\asr-fvds\input\input.wav -l ru

Посмотрим на выдачу команды:

whisper_print_timings:     load time =  2899.25 ms
whisper_print_timings:     fallbacks =   0 p /   0 h
whisper_print_timings:      mel time =    54.38 ms
whisper_print_timings:   sample time =  1232.07 ms /  3331 runs (     0.37 ms per run)
whisper_print_timings:   encode time = 30350.93 ms /     4 runs (  7587.73 ms per run)
whisper_print_timings:   decode time =   656.79 ms /    11 runs (    59.71 ms per run)
whisper_print_timings:   batchd time = 90675.35 ms /  3303 runs (    27.45 ms per run)
whisper_print_timings:   prompt time =  4313.50 ms /   623 runs (     6.92 ms per run)
whisper_print_timings:    total time = 130534.67 ms

Как видите, время распознавания с применением GPU составило 130 секунд, по сравнению с 173 секундами на CPU.

Для дополнительного ускорения распознавания настроим параметры:

whisper-cli.exe -m models\ggml-large-v3.bin -f 
c:\asr-fvds\input\input.wav -l ru -t 12 -otxt -nt -pc false

Здесь мы использовали 12 потоков CPU (параметр -t 12), выводим только текст (-otxt), отменили вывод временных меток слов (-nt), отключили вывод прогресса в консоль (-pc false).

Теперь вместо 130 секунд программа всё сделала за 116 секунд:

whisper_print_timings:     load time =  2794.66 ms
whisper_print_timings:     fallbacks =   0 p /   0 h
whisper_print_timings:      mel time =    33.83 ms
whisper_print_timings:   sample time =  1024.46 ms /  2801 runs (     0.37 ms per run)
whisper_print_timings:   encode time = 29749.33 ms /     4 runs (  7437.33 ms per run)
whisper_print_timings:   decode time =   194.69 ms /     3 runs (    64.90 ms per run)
whisper_print_timings:   batchd time = 77307.71 ms /  2782 runs (    27.79 ms per run)
whisper_print_timings:   prompt time =  4352.52 ms /   600 runs (     7.25 ms per run)
whisper_print_timings:    total time = 115867.71 ms

Загрузку GPU можно наблюдать в диспетчере задач (рис. 4).

Рис. 4. Загрузка GPU при выполнении распознавания

GPU в Microsoft Windows 11 используется для ускорения и при обычной работе, например, при открытии или перемещении окон. Распознавание речи отнимает практически все ресурсы GPU.

Распознавание речи в файлах с выделением спикеров

Профессиональные системы распознавания речи из файлов обычно предоставляют не только текстовую распечатку, но и функцию автоматического распознавания спикеров — диаризацию (diarization). Это очень удобно, например, при расшифровке записи совещаний с несколькими людьми.

Я сделал такую систему на сервере Ubuntu 22.04 с GPU Tesla-T4 на базе Whisper — модели распознавания речи от OpenAI, CUDA, Python и сервера WebSocket.

Установка ПО на сервер

Чтобы снизить затраты, я арендовал для экспериментов сервер с GPU у одного из провайдеров, предлагающих посекундную оплату.

При установке прежде всего нужно обновить и перезагрузить систему:

$ sudo apt update && sudo apt upgrade -y
$ sudo reboot

На следующем шаге устанавливаем драйверы NVIDIA:

$ mkdir asr-public
$ cd asr-public
$ chmod +x install_nvidia_definite_public.sh
./install_nvidia_definite_public.sh

Скрипт install_nvidia_definite_public.sh вы можете загрузить из моего репозитория.

После установки перезагрузите OC и запустите программу nvidia-smi (рис. 5).

Рис. 5. Просмотр характеристик GPU с помощью nvidia-smi

Здесь вы увидите тип GPU, установленного на сервере, версию драйвера и CUDA, объем памяти GPU (в данном случае 16 ГБайт) и другую информацию.

На следующем этапе запустите скрипт полной установки необходимых модулей Python install_complete-public.sh:

$ chmod +x install_complete-public.sh
$ ./install_complete-public.sh

При успешном завершении он выведет на консоль версии установленных программ и пакетов:

Все компоненты установлены:
  • PyTorch 2.1.0 + CUDA 11.8
  • PyTorch Lightning 2.0.9
  • Whisper (все модели)
  • PyAnnote 3.1.1

Если всё хорошо, проверьте систему скриптом check_system-public.sh:

chmod +x check_system-public.sh
./check_system-public.sh

Этот скрипт должен показать на консоли краткий отчёт:

=========================================
КРАТКИЙ ОТЧЕТ
=========================================
ОС: Ubuntu 22.04.5 LTS
Python: 3.10.12
GPU: Обнаружена (Tesla T4)
Отсутствует пакетов: 15 системных, 11 Python
=========================================

Теперь активируйте виртуальное окружение Python, чтобы продолжить в нём установку:

$ source whisper_gpu_complete_env/bin/activate
(whisper_gpu_complete_env) ubuntu@asr01:~$

Запустите в этом окружении скрипт quick_test.sh (будет создан автоматически скриптом install_complete-public.sh), а затем программу whisper с параметром -h для выдачи справки об использовании:

./quick_test.sh
whisper -h

Запуск программы распознавания с диаризацией

После установки первым делом выполните быструю проверку распознавания, загрузив звуковой файл с речью на английском языке из репозитория Github и запустите whisper:

$ wget -q https://github.com/openai/whisper/raw/main/tests/jfk.flac
$ whisper jfk.flac --model tiny --device cuda --output_format txt

Если все работает, испытайте более сложную программу с диаризацией whisper_pyannote_gpu_v3.py, загрузив её из моего репозитория:

$ source whisper_gpu_complete_env/bin/activate

$ python whisper_pyannote_gpu_v3.py 
/home/ubuntu/asr-public/input/fm-records_25.wav --whisper-model 
large-v3 --language ru --export-all --hf-token hf_*********

В параметре --hf-token нужно задать токен, полученный на сайте https://huggingface.co. Это можно сделать бесплатно, но потребуется регистрация.

После завершения распознавания на консоли появятся результаты, показанные здесь в сокращённом виде:

Скрытый текст

======================================================================
ДИАРИЗАЦИЯ И ТРАНСКРИПЦИЯ (v2.1)
======================================================================
Устройство: cuda
Аудиофайл: /home/ubuntu/asr-public/input/fm-records_25.wav
Диаризация: включена
Сценарий: meeting
Модель Whisper: large-v3

Этап 1: Конфигурация...
Этап 2: Диаризация...
Загрузка модели диаризации для сценария 'meeting'...
Применение гиперпараметров: ['min_speakers', 'max_speakers', 'segmentation_threshold', 'clustering', 'step']
Модель загружена на cuda
Диаризация файла: fm-records_25.wav
Дополнительные параметры: {'min_speakers': 2, 'max_speakers': 10}
✓ Обнаружено 114 сегментов диаризации
✓ Обнаружено 2 спикеров: SPEAKER_00, SPEAKER_01

Этап 3: Транскрипция...
Загрузка модели Whisper large-v3 на cuda...
Транскрипция файла: fm-records_25.wav
Запуск распознавания...
✓ Распознано 117 сегментов транскрипции

Этап 4: Совмещение и постобработка...
Совмещение транскрипции и диаризации...
  Совмещено 20/117 сегментов
  Совмещено 40/117 сегментов
  Совмещено 60/117 сегментов
  Совмещено 80/117 сегментов
  Совмещено 100/117 сегментов
  Совмещено 117/117 сегментов
✓ Совмещение завершено
Постобработка сегментов...
✓ После постобработки: 9 сегментов, 2 спикеров

Этап 5: Экспорт результатов...
Экспорт в текстовый файл: ./results/fm-records_25_20260118_094116.txt
Экспорт в JSON: ./results/fm-records_25_20260118_094116.json
Экспорт в SRT: ./results/fm-records_25_20260118_094116.srt
Экспорт в VTT: ./results/fm-records_25_20260118_094116.vtt
Статистика сохранена: ./results/fm-records_25_20260118_094116_stats.json

======================================================================
ОБРАБОТКА ЗАВЕРШЕНА
======================================================================
✓ Файл результатов: ./results/fm-records_25_20260118_094116.txt
✓ Общее время аудио: 414.8 сек (6.9 мин)
✓ Всего сегментов: 9
✓ Обнаружено спикеров: 2

Распределение по спикерам:
  SPEAKER_01: 375.6 сек (90.5%)
  SPEAKER_02: 31.1 сек (7.5%)
✓ Результаты сохранены в: ./results

После завершения работы программа запишет результаты в файлы типов JSON, SRT, и VTT (рис. 5). Также в формате JSON будет сохранена статистика.

Рис. 5. Результаты распознавания с диаризацией

Передавая программе разные звуковые файлы с записью, где есть несколько спикеров, испытайте диаризацию в работе.

Краткое описание программы whisper_pyannote_gpu_v3

Программа whisper_pyannote_gpu_v3.py объединяет распознавание речи (на базе Whisper) и диаризацию спикеров (через PyAnnote Speaker Diarization 3.1). Обе эти функции используют для ускорения работы GPU.

Для распознавания речи модуль AdvancedWhisperTranscriber загружает модель Whisper. Если на сервере есть GPU, используется оптимизация.

Модуль AdvancedDiarizer создаёт список сегментов по времени с идентификаторами спикеров и статистикой. Он реализует алгоритм автоматического определения речи VAD (Voice Activity Detection), выделяя ее из тишины и шума.

Сегменты Whisper и PyAnnote сопоставляются по временному пересечению в классе IntelligentAligner. Он также выполняет проверяет близость границ и поиск ближайшего сегмента. При этом каждому сегменту присваивается спикер, метод совмещения и оценка уверенности.

Здесь оценка уверенности — это числовая мера того, насколько модель "уверена", что данный фрагмент речи принадлежит конкретному спикеру.

Она основана на вероятностях, выдаваемых нейросетью, и используется для фильтрации ошибок и улучшения качества итоговой разметки.

Оптимизация аудио файлов

Тестируя разные файлы, вы обнаружите, что качество распознавания может оказаться невысоким, если звуковые файлы содержат шумы, искажения или разного рода аномалии.

Конечно, для распознавания была бы идеальна высококачественная запись, сделанная в студии, но реальность обычно очень далека от этого. Приходится иметь дело с такими звуковыми файлами, какие есть.

Чтобы улучшить звуковой файл с речью, можно обработать его, например, программой ffmpeg.

Ниже представлена команда, выполняющая предварительную обработку аудиофайла записи лекции в аудитории, оптимизируя его для систем распознавания речи. Она удаляет низкочастотный и высокочастотный шум, ослабляет гул и резонансы, подавляет фоновый шум, выравнивает громкость и приводит аудио к формату, оптимальному для Whisper:

ffmpeg -i /home/ubuntu/input/23-sent-20.45.aac_000.aac -af "highpass=f=150, lowpass=f=7500, equalizer=f=180:t=q:w=1:g=-6, afftdn=nf=-28, dynaudnorm=f=200:g=18" -ar 16000 -ac 1 -c:a pcm_s16le /home/ubuntu/input/whisper.wav

Здесь параметры аудио фильтров -af решают такие задачи:

highpass=f=150 — убирает низкочастотный гул и вибрации ниже 150 Гц;
lowpass=f=7500 — отсекает высокочастотный шум выше 7,5 к=КГц;
equalizer=f=180:t=q:w=1:g=-6 — подавляет резонанс и «бубнение» голоса в области 180 Гц (важно для распознавания голоса лектора, записанного в учебной аудитории);
afftdn=nf=-28 — включает частотное шумоподавление;
dynaudnorm=f=200:g=18 — выравнивает громкость речи по всему файлу

Для того чтобы задать нужный формат выходного файла, укажите следующие параметры:

-ar 16000 — частота дискретизации 16 КГц;
-ac 1 — монофонический файл;
-c:a pcm_s16le — несжатый WAV, 16 бит

На рис. 6 показан исходный звуковой файл записи лекции в окне программы Ocenaudio, а на рис. 7 — результаты обработки программой ffmpeg с указанными выше параметрами.

Рис. 6. Исходный звуковой файл записи лекции

Рис. 7. Результат обработки звукового файла программой ffmpeg

Как видите, звук стал монофоническим, частота дискретизации изменилась и стала равной 16000 Гц, была выровнена громкость речи по всему файлу.

Здесь результат получился удовлетворительный, но, конечно, параметры аудио фильтров нужно подбирать исходя их особенностей ваших аудио файлов.

Потоковое распознавание речи

Конечно, можно найти много применений функции распознавания речи, записанной в аудиофайлах. Однако ещё интереснее распознавать речь в реальном времени, «на лету» или как ещё говорят, в потоке. Для решения такой задачи не обойтись без GPU, значительно ускоряющего распознавание. Кстати, современные мобильные телефоны содержат GPU, встроенные в чипсет.

Для экспериментов с потоковым распознаванием речи я подключил веб-камеру Logitech через USB к микрокомпьютеру Репка 4 отечественной сборки (рис. 8).

Рис. 8. Клиент сервера потокового распознавания речи

Этот компьютер играет роль клиента для сервера потокового распознавания речи.

Ниже я рассмотрю другой вариант — использование в качестве клиента настольного компьютера или ноутбука с ОС Microsoft Windows с микрофоном или веб-камерой.

Установка сервера для потокового распознавания

Я предполагаю, что вы уже установили сервер Ubuntu с GPU, как это было описано ранее в этой статье. Выполним установку потокового распознавания на этот сервер.

Создайте виртуальное окружение и обновите pip:

$ python3 -m venv /home/ubuntu/asr-public-streaming
$ source /home/ubuntu/asr-public-streaming/bin/activate
$ pip install --upgrade pip

На следующем шаге нужно установить CUDA 12.0, предварительно выполнив очистку:

$ sudo apt --purge remove "*cuda*"
$ sudo rm -f /etc/apt/sources.list.d/cuda*
$ sudo rm -f /usr/share/keyrings/cuda*
$ sudo apt update
$ wget https://developer.download.nvidia.com/compute/cuda/12.0.1/local_installers/cuda_12.0.1_525.85.12_linux.run
chmod +x cuda_12.0.1_525.85.12_linux.run
sudo ./cuda_12.0.1_525.85.12_linux.run --toolkit --silent --override

Добавьте к файлу ~/.bashrc экспорт путей к CUDA:

$ echo 'export PATH=/usr/local/cuda-12.0/bin:$PATH' >> ~/.bashrc
$ echo 'export 
LD_LIBRARY_PATH=/usr/local/cuda-12.0/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
$ source ~/.bashrc

После выполнения этих действий проверьте версию установленного CUDA:

$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Jan__6_16:45:21_PST_2023
Cuda compilation tools, release 12.0, V12.0.140
Build cuda_12.0.r12.0/compiler.32267302_0

Теперь осталось установить необходимые пакеты и можно приступать к запуску сервера:

$ source /home/ubuntu/asr-public-streaming/bin/activate
$ pip install fastapi 'uvicorn[standard]' faster-whisper[all] torch torchvision torchaudio

Запуск потокового сервера

Перед запуском сервера активируйте настройки в файле ~/.bashrc и виртуальную среду:

$ source ~/.bashrc
$ source /home/ubuntu/asr-public-streaming/bin/activate

С целью тестирования сервер можно запустить из консоли простой командой:

$ python asr_server_async.py

После запуска программа будет ожидать подключения клиента на порту 8000 (рис. 9).

Рис. 9. Сервер asr_server_async.py запущен

Программа asr_server_async.py доступна в моём репозитории.

Краткое описание программы asr_server_async

Программа автоматического распознавания речи реализована как асинхронный сервер на базе FastAPI и модели Faster-Whisper. Она получает поток данных аудио через WebSocket, обрабатывает его в реальном времени и отправляет распознанный текст обратно клиенту.

Клиент подключается к маршруту /ws/asr. Сервер получает данные от клиента и преобразует их в массив numpy с типом int16, накапливая в буфере.

Поле накопления данных за три секунды данные преобразуются в формат float32 и передаются в модель для распознавания речи. Процесс распознавания запускается асинхронно с применением asyncio.to_thread, не блокируя основной цикл сервера.

Полученные сегменты текста отправляются обратно клиенту через WebSocket. В режиме отладки выводятся подробные статистики амплитуды, логарифмические вероятности распознанных сегментов.

В режиме отладки полученный поток сохраняется в WAV-файл с уникальным именем, включающим метку времени и идентификатор подключения.

При сохранении аудио выполняется проверка уровня сигнала. Если амплитуда слишком мала, сервер предупреждает о слабом сигнале, если слишком велика — о возможном клиппинге. Это позволяет диагностировать проблемы с микрофоном или настройками записи.

Дополнительно сервер предоставляет еще несколько маршрутов:

/recordings — просмотр всех сохраненных записей в режиме отладки;
/recordings/clear — удаление всех записей;
/health — проверка состояния сервера, включая используемое устройство (CPU/GPU), модель и режим отладки

Клиент сервера потокового распознавания на базе Repka Pi 4

В качестве клиента потокового сервера можно использовать микрокомпьютер отечественного производства Repka Pi 4. Я подготовил для него программу mic_client_arecord_public.py.

Для установки и настройки клиента сначала скачайте нужную вам прошивку Repka OS на сайте Repka-Pi, запишите её на карту SD и выполните загрузку Repka Pi 4 с этой карты.

Далее выполните установку необходимых программ и библиотек:

sudo apt update
sudo apt install -y alsa-utils python3 python3-pip

Проверьте ALSA:

arecord –version
arecord: version 1.2.6 by Jaroslav Kysela <[email protected]>

Создайте и активируйте виртуальное окружение:

apt install python3.10-venv
python3 -m venv venv
source venv/bin/activate

Установите необходимые библиотеки:

pip install --upgrade pip
pip install numpy websocket-client torch silero-vad
pip install websockets

Для проверки микрофона прежде всего посмотрите список устройств:

arecord -l
**** Список CAPTURE устройств ****
карта 0: ac200audio [ac200-audio], устройство 0: 508f000.i2s-ac200-dai ac200-dai-0 [508f000.i2s-ac200-dai ac200-dai-0]
  Подустройства: 1/1
  Подустройство №0: subdevice #0
карта 1: U0x46d0x825 [USB Device 0x46d:0x825], устройство 0: USB Audio [USB Audio]
  Подустройства: 1/1
  Подустройство №0: subdevice #0

В данном случае я подключил веб-камеру Logitech с микрофоном к разъёму USB. Микрофон был обнаружен на карте 1, устройство 0. Для проверки запустите команду arecord и говорите в микрофон:

arecord -D plughw:1,0 -f S16_LE -r 16000 -c 1 test.wav

Чтобы прервать запись, нажмите комбинацию клавиш Ctrl+C. Прослушайте запись командой aplay:

aplay test.wav

Теперь, находясь в виртуальном окружении, запустите клиент потокового сервера:

cd venv
# python3 mic_client_arecord_public.py

После подключения к серверу клиента произносите слова в микрофон и наблюдайте за консолью клиента (рис. 10) и сервера (рис. 11).

Рис. 10. На консоль клиента выводятся результаты распознавания в потоке (адрес IP сервера не показан)

Рис. 11. Консоль сервера в процессе распознавания (адрес IP клиента скрыт)

Распознанный текст не совсем соответствует оригиналу, но смысл сохранился (а рифма — нет).

Клиент сервера потокового распознавания для Windows

Я также подготовил и протестировал программу клиента для Microsoft Windows 11 asr_client_enhanced.py. Она полностью совместима с рассмотренным выше сервером потокового распознавания.

Эта программа захватывает звук в реальном времени, разбивает его на небольшие фрагменты и отправляет на сервер, одновременно принимая текстовые ответы распознавания.

Если запустить программу в консоли, она будет отправлять данные на сервер и выводить результаты распознавания (рис. 12).

Рис. 12. Работа клиента сервера распознавания в Microsoft Windows (адрес IP сервера скрыт)

Установка сервера для работы с Parakeet

При установке сервера для работы с Parakeet основная трудность заключается в согласовании версий пакетов.

Предположим, что мы работаем на том же сервере, где только что настроили потоковое распознавание с помощью Whisper.

Первым делом обновим систему и проверим установку основных пакетов:

sudo apt-get update
sudo apt-get upgrade -y
sudo apt-get install -y python3.10 python3.10-venv python3.10-dev
sudo apt-get install -y libsndfile1 ffmpeg sox cmake build-essential git curl wget

Далее установим NVIDIA CUDA Toolkit:

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get install -y cuda-toolkit-12-2

Проверим установку:

python3 --version
python 3.10.12

nvcc –-version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Fri_Jan__6_16:45:21_PST_2023
Cuda compilation tools, release 12.0, V12.0.140
Build cuda_12.0.r12.0/compiler.32267302_0
nvidia-smi

В результатах работы этой команды должна быть строка:

NVIDIA-SMI 535.274.02 Driver Version: 535.274.02 CUDA Version: 12.2

Создадим, настроим и активируем виртуальное окружение:

mkdir -p /home/ubuntu/parakeet_v3
cd /home/ubuntu/parakeet_v3
python3.10 -m venv venv
source venv/bin/activate
pip install --upgrade pip

Дальше перейдём к установке зависимостей. Прежде всего установим PyTorch и CUDA 11.8:

pip install torch==2.1.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118

Установим зависимости для NeMo:

pip install Cython==0.29.36
pip install huggingface-hub==0.23.0
pip install transformers==4.33.3
pip install omegaconf==2.3.0
pip install hydra-core==1.3.2
pip install pytorch-lightning==2.0.7
pip install torchmetrics==1.8.2

Устанавливаем nemo-toolkit:

pip install nemo-toolkit==1.21.0

Затем устанавливаем пакеты для обработки аудио и веб-сервера:

pip install soundfile==0.13.1
pip install librosa==0.11.0
pip install fastapi==0.104.1
pip install uvicorn[standard]==0.24.0
pip install websockets==12.0

Теперь переходим к установке остальных зависимостей:

pip install numpy==1.23.5
pip install sentencepiece==0.1.99
pip install tokenizers==0.13.3
pip install onnx==1.20.1
pip install tensorboard==2.20.0
pip install wget==3.2
pip install pandas==2.3.3
pip install inflect==7.5.0
pip install nltk==3.9.2
pip install joblib==1.5.3
pip install pillow==12.1.0
pip install pooch==1.8.2
pip install audioread==3.1.0
pip install resampy==0.4.3
pip install colorama==0.4.6
pip install webdataset==0.1.62
pip install pyannote.core==5.0.0
pip install pyannote.metrics==3.2.1
pip install pyannote.database==5.1.3
pip install editdistance==0.8.1
pip install jiwer==4.0.0
pip install ipython==8.38.0

На этом этапе не помешает проверить установку основных пакетов:

python -c "
import torch
print(f'PyTorch: {torch.__version__}')
print(f'CUDA доступна: {torch.cuda.is_available()}')
if torch.cuda.is_available():
    print(f'GPU: {torch.cuda.get_device_name(0)}')
"

Программа должна вывести на консоль:

PyTorch: 2.9.1+cu128
CUDA доступна: True
GPU: NVIDIA A2

Далее установите youtokentome из исходников:

cd /tmp
git clone https://github.com/vkcom/youtokentome.git
cd youtokentome
git checkout v1.0.6
pip install Cython==0.29.36 setuptools==65.5.0
python setup.py build_ext --inplace
python setup.py install

Проверьте NeMo:

python -c "
import nemo.collections.asr as nemo_asr
print('NeMo импортирован успешно')
"

Переустановите numpy на правильную версию:

pip uninstall -y numpy
pip install numpy==1.23.5

Теперь сервер готов к запуску.

Краткое описание программы asr_server_optimized

Программа asr_server_optimized.py представляет собой сервер автоматического распознавания речи с использованием модели NVIDIA Parakeet v3, NVIDIA NeMo и FastAPI.

Сервер принимает аудиопоток от клиентов по WebSocket, распознаёт в нём текст и возвращает результаты распознавания в реальном времени. В программе сервера реализованы такие маршруты:

ws/asr для работы с аудиопотоком через WebSocket;
ws/health для проверки состояния сервера и доступности модели

Аналогично рассмотренному выше серверу на базе модели Faster-Whisper, этот сервер собирает данные аудио в буфер и запускает распознавание в отдельном потоку с помощью ThreadPoolExecutor.

Этот сервер способен работать с теми же самыми клиентами, что и ранее описанный сервер потокового распознавания на базе модели Faster-Whisper.

Запуск сервера с Parakeet

Перейдите в каталог проекта и запустите программу сервера asr_server_optimized.py:

cd /home/ubuntu/parakeet_v3
source venv/bin/activate
python asr_server_optimized.py

Результаты работы сервера видны на консоли (рис. 13).

Рис. 13. Работа сервера потокового распознавания на Parakeet

Как видите, время распознавания фрагментов очень невелико и составляет сотые доли секунды. При этом обеспечивается вполне приёмлемое качество распознавания — текст практически полностью соответствует произнесённым в микрофон словам.

Установка программы распознавания речи в Docker

Для промышленного применения удобнее использовать Docker. Это ускоряет развёртывание программы и даёт возможность масштабирования.

Займёмся созданием контейнера для запуска программы whisper_pyannote_gpu_v3.py распознавания речи в файлах, о которой я рассказывал выше.

Сразу скажу, что перед использованием Docker нужно установить на сервер (не в контейнер) драйвер NVIDIA с помощью скрипта install_nvidia_definite_public.sh, а также NVIDIA Container Toolkit.

Установка Docker на сервер Ubuntu

Установку Docker можно выполнить следующей последовательностью команд:

sudo apt install -y ca-certificates curl gnupg  lsb-release
sudo mkdir -p /etc/apt/keyrings
 curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt update
sudo apt install -y docker-ce docker-ce-cli containerd.io docker-compose-plugin
sudo usermod -aG docker $USER
 newgrp docker

После установки проверьте работу Docker:

docker run hello-world

Она должна вывести на консоль приглашение, содержащее строку «Hello from Docker!».

Установка NVIDIA Container Toolkit

Далее установите NVIDIA Container Toolkit с помощью следующей последовательности команд:

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt update
 sudo apt install -y nvidia-container-toolkit
sudo nvidia-ctk runtime configure --runtime=docker

После установки перезапустите сервис Docker:

sudo systemctl restart docker

Проверьте доступность GPU:

docker run --rm --gpus all nvidia/cuda:12.1.1-base-ubuntu22.04 nvidia-smi

Сборка контейнера

Создайте каталог для сборки контейнера, например, asr-public2, и сделайте его текущим:

cd asr-public2

Создайте здесь подкаталоги input и results для хранения звуковых файлов и для результатов распознавания, соответственно.

Также создайте в этом каталоге файлы Dockerfile, docker-compose.yml и requirements.txt. Все эти файлы доступны в моём репозитории на Github.

Далее, находясь в каталоге asr-public2, соберите контейнер:

docker compose build

Запуск контейнера

Для запуска контейнера создайте переменную среды HF_TOKEN:

export HF_TOKEN=hf_*****

Далее запустите контейнер:

docker compose up

Контейнер можно запустить и с указанием параметров:

docker run --rm --gpus all \
   -e HF_TOKEN=hf_******* \
   -v $(pwd)/input:/app/input \
   -v $(pwd)/results:/app/results \
   asr-public2-whisper-asr \
   /app/input/fm-records_25.wav \
   --whisper-model large-v3 \
   --language ru \
   --export-all \
   --hf-token hf_*******

Здесь вы сможете задать каталоги для входных и выходных файлов, имя звукового файла, модель для распознавания, язык и параметр, определяющий состав создаваемых файлов результата распознавания.

Что дальше

Теперь у вас есть инструкции, с помощью которых вы сможете проводить эксперименты с распознаванием речи, обрабатывая звуковые файлы (с диаризацией или без неё), и звуковые потоки, поступающие от микрофона или другого источника звука.

Тема распознавания речи с помощью нейронных сетей огромна, и конечно, обо всём невозможно рассказать в одной статье. Но даже и без глубокого знакомства с теорией можно создавать системы распознавания, пользуясь готовыми моделями и библиотеками Python.

Пишите в комментариях, какие задачи по распознаванию речи вы решали и с какими трудностями при этом сталкивались. Ваши комментарии будут учитываться при подготовке других статей этой тематики.

Автор @AlexandreFrolov

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ICO

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4 февр. 2026 г.

30.06.26 15:08 wendytaylor015

My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
02.07.26 01:22 Lieneke Bonnema

I highly recommend ResQprofirm for their professional asset recovery services of my $120,000 scammed funds. Their expertise, professionalism, and commitment to achieving results make them a reliable choice for anyone seeking dependable recovery assistance. [email protected], WhatsApp +19852969146, telegram @resqprofirm
02.07.26 01:26 Clara Morin

I want to extend my deepest appreciation for showing that circumstances do not define one’s potential for greatness. Your support has been a major source of inspiration during my trading journey, and I am sincerely grateful for your insight and mentorship. Thank you so much. [email protected], WhatsApp +19852969146, telegram ResQprofirm
02.07.26 01:31 Robin Hale

I sincerely want to thank you for demonstrating that anyone can rise above their circumstances and achieve success. Your constant support has been incredibly inspiring during my trading journey, and your wisdom and advice mean so much to me. I appreciate you deeply. [email protected], WhatsApp +19852969146, telegram Resqprofirm
04.07.26 15:32 Fraddy Pual

There are few companies I trust as much as FUNDSRETRIEVER. When I lost $653,000 in Ethereum to a ruthless scam, I thought my life would never be the same. The betrayal cut deep, but I refused to give up. I searched tirelessly for a legitimate way to recover what was stolen, and finally found FUNDSRETRIEVER—the most competent and compassionate recovery team I could have imagined. They handled my case with precision and care, and in the end, my entire ETH wallet was restored. More than the money, they gave me back my hope and happiness. I'm sharing my story because I want others to know that recovery is possible. If a scam has taken from you, don't hesitate—contact FUNDSRETRIEVER today. Email: FUNDSRETRIEVER1@ Gmail.com | WhatsApp: +1 603-512-1448 | Telegram: @FUNDSRETRIEVER
05.07.26 14:44 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
05.07.26 14:44 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
06.07.26 16:20 Olga Ognjanović

Having trouble withdrawing funds from an investment platform? ResQprofirm provides fund recovery assistance for individuals seeking help with investment-related disputes. I reached out to them after experiencing problems with an investment platform, and I appreciated their professionalism and support throughout the process. If you're facing a similar situation, act promptly, keep records of your transactions and communications, and seek assistance from a qualified recovery service or the appropriate authorities. Contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 985 296 9146
06.07.26 16:31 Joseph Weigl

Invest wisely and stay cautious. Don't be influenced by promises of unusually high returns or convincing sales pitches from brokers. I learned this the hard way after falling victim to an investment scam that promised huge profits. Fortunately, I acted quickly and reported the incident to a recovery firm for assistance. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146
06.07.26 16:33 Jaran Løvlien

A heartfelt thank you to RESQPRO FIRM for their commitment and professionalism throughout the investigation of my case. Their team worked diligently and helped recover assets valued at $88,000, which were returned to my wallet. I truly appreciate their support, clear communication, and dedication, and I'm grateful for the assistance I received. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146
07.07.26 18:00 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
07.07.26 18:01 robertalfred175

CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
09.07.26 19:06 Toivo Walli

I lost 8.56btc to a fake Bitcoin mining site, I tried withdrawing but couldn't approved my process, I reported to !R£SQPROFIRM! via °R£SQproFirm°àt°gmail•com° °tEL£°gram=R£SQprofirm °whaT°Zap+198°52°96°91°46
09.07.26 19:10 Misty Alexander

Ongoing messages demanding more money before approving withdrawals are a major red flag. Stop engaging and report the incident to a trusted recovery team. For professional support, you can contact R£sQprofirm using °ResQproFirm°àt°g,*ma'il(•)¢m°, TEL£gram ResQprofirm, or |whaTZap| +1-985-296-9146.
09.07.26 19:13 Clara Soto

Anyone receiving continued requests for additional deposits from a scam platform should immediately cut off communication and submit the case to a reputable recovery service for investigation. R£sQprofirm is a dependable firm you can reach at °ResQproFirm°àt°g,*ma'il(•)¢om°, TEL£gram ResQprofirm, or |whaTZap| +1-985-296-9146.
12.07.26 03:30 Kora Baltacha

Time is critical. Act now by reaching out to a reputable, seasoned recovery specialist who will guide you every step of the way. You'll need to submit transaction proof, scammer details, and any other useful information. Armed with this, the experts can trace and attempt to pull your money back from the scammers' hidden accounts or wallets. Best of all, R£sQprofirm provides recovery help without charging any upfront fees. Contact them immediately via Telegram @ResQprofirm, WhatsApp +19852969146, or email [email protected].
12.07.26 03:33 Pahal Mathew

It's important to move proactively by engaging an experienced recovery specialist. They will assist you throughout the process. To help them, provide: · Transaction evidence · Scammer information · Any additional relevant details The experts will then track and try to retrieve your funds from the scammers' hidden accounts or wallets. R£sQprofirm offers recovery assistance with no upfront fees. Contact: Telegram: @ResQprofirm WhatsApp: +19852969146 Email: [email protected]
13.07.26 23:49 [email protected]

One of the biggest concerns I have about cryptocurrency is the lack of regulation. It creates opportunities for scammers to invent convincing stories and fraudulent investment schemes. Unfortunately, some social media platforms continue to display these ads because they profit from them, even after users report them.I personally clicked on a Facebook advertisement for a company called Chickenfastmining and ended up losing more than $120,000 in a scam. I reported the ad, but nothing was done. Later, through a Reddit community, I found a recovery service called CYBERBERSPY that, in my personal experience, they helped me recover $110,000 of my lost funds. If you've been a victim of a cryptocurrency scam, don't lose hope. Explore your options carefully, and always verify the legitimacy of any recovery service before trusting them or paying any fees. Based on my own experience, CYBERBERSPY was helpful to me and i was able to recover my funds back, but I encourage everyone to do their own research before using any recovery service.i highly recommend: ([email protected])
15.07.26 11:53 Sarah Green

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15.07.26 11:58 Lily Gagné

I sincerely appreciate you for proving that anyone can overcome challenges and achieve success. Your unwavering support throughout my trading investment scam of $88,890 recovery journey has been truly inspiring, and your guidance and wisdom have meant a great deal to me. Thank you for everything ResQprofirm@ gmail.com, ResQprofirm on the telegram.
16.07.26 21:38 patricialovick86

How To Recover Your Bitcoin Without Falling Victim To Scams: A Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected] You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1
16.07.26 21:38 patricialovick86

How To Recover Your Bitcoin Without Falling Victim To Scams: A Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. Contact: [email protected] You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact website: https://recovercapital.wixsite.com/capital-crypto-rec-1
17.07.26 19:24 laimqq90

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17.07.26 20:12 martinsjude080

Needs Online Fraud Help Contact Mighty Hacker Recovery https://mightyhackarrecovery.com I lost $292,900 in Bitcoin after investing with an online mining company. After realizing I had been scammed, I spent a long time searching for ways to recover my funds and contacted several services without success. During my research, I came across Mighty Hacker Recovery through Google and YouTube. What caught my attention was that they said they would not require any upfront payment before providing their recovery service. I decided to contact them to discuss my case and understand their process. Throughout the process, they kept me informed about the progress. After several days, I was asked to provide my Bitcoin wallet address, and my case was concluded. Their fee was handled after the service rather than being requested in advance. If you've been the victim of a cryptocurrency scam, it's important to do your own research, ask questions, and carefully evaluate any recovery service before proceeding. Every case is different, so take the time to verify information and understand the process before making any decisions. For Bitcoin scam recovery, cryptocurrency scam, crypto recovery service, recover stolen Bitcoin, Bitcoin fraud help, blockchain investigation, crypto wallet recovery, online investment scam, digital asset recovery, and crypto scam support. Contact Them on WhatsApp +1 (343) 947-3496 or [email protected] or [email protected] or https://mightyhackarrecovery.com Scam recovery Online fraud help Scam alert Report fraud Fraud investigation Fake website checker Scam checker Identity theft protection Consumer protection Chargeback for scam Wire transfer scam Tech support scam Employment scam Rental scam Shopping scam Email scam WhatsApp scam Telegram scam Facebook scam Instagram scam
18.07.26 17:12 Malthe Larsen

My experience with OKX has been deeply frustrating. For months, my account withdrawals were restricted with no explanation or resolution. Multiple emails to their support team were ignored, leaving me without answers or reassurance. This complete lack of communication shattered my trust. I ultimately regained access to my funds only through the help of a third-party recovery service, ResQProfirm. What should have been a reliable platform instead made me feel helpless and cut off from my own assets. [email protected], WhatsApp +19852969146, telegram @Resqprofirm
18.07.26 17:42 پریا رضایی

OKX has been a major disappointment. My withdrawals were restricted for months, and repeated attempts to contact support went unanswered. This silence destroyed my confidence in the platform. I was only able to recover my funds through a third-party service, ResQProfirm. I trusted OKX for its reliability, but the experience left me feeling trapped and helpless. Timely communication and access to one’s own money should be a basic standard. [email protected], WhatsApp +19852969146, telegram: ResQprofirm
18.07.26 17:46 Adem Akışık

I truly didn’t expect such an outstanding outcome. Recovering my $49,360 felt impossible at first, but ResQprofirm’s dedication and persistence made it happen. I hold their team in the highest regard. [email protected], WhatsApp +19852969146
18.07.26 23:51 bernalzenaida

WhatsApp https://wa.link/fhle97 Telegram https://msng.link/o?@techcyberforc=tg As cryptocurrency continues to reshape global finance, cybercriminals are finding new ways to exploit investors through scams, hacks, phishing attacks, fake investment platforms, and other forms of digital asset fraud. For many victims, knowing where to turn after a loss can be one of the biggest challenges. Techy Force Cyber Retrieval was founded with one clear mission: to give victims of crypto fraud a fighting chance through professional blockchain investigations and cybersecurity expertise. Our team brings together experienced blockchain analysts, digital forensic specialists, cybersecurity professionals, and legal partners who work collaboratively to investigate cryptocurrency-related crimes. Using advanced blockchain forensic tools and global investigative techniques, we analyze transaction histories, trace digital asset movements where possible, identify valuable investigative leads, and prepare evidence that may assist clients and the appropriate authorities. We believe blockchain should represent transparency, accountability, and trust—not fear. That’s why we’re committed to helping victims understand their options, navigate the investigative process, and take informed action after cryptocurrency fraud. Every case is different, and while no legitimate recovery service can promise a successful recovery, acting quickly and working with experienced professionals can improve the quality of an investigation. At Techy Force Cyber Retrieval, we do more than investigate digital crimes—we advocate for victims, pursue the facts, and help people regain confidence after cryptocurrency fraud. WhatsApp https://wa.link/fhle97 Telegram https://msng.link/o?@techcyberforc=tg Crypto fraud doesn’t have to be the end of the road. It’s where our investigation begins.
19.07.26 04:10 Fraddy Pual

I can't thank Fundsretriever enough for everything they did for me. My name is Vanessa Conway, and I'm here to tell you my story of how I recovered money I never thought I'd see again. A few months ago, I put a significant amount of money into what looked like a genuine online investment company. At first, it felt real—they showed me fake profits and convinced me to invest even more. But when I tried to cash out, they went quiet and started asking for extra fees. That's when it hit me—I had been scammed. I was heartbroken, frustrated, and didn't know where to turn. That money was my savings—months of hard work gone. Then I found Fundsretriever online. I reached out, hoping for a miracle. Right away, their team made me feel heard. They were responsive, knowledgeable, and walked me through everything. They didn't just take my case—they took it seriously and kept me in the loop every step of the way. I finally felt like I had real experts fighting for me. And guess what? They actually got my money back. It wasn't instant, and it took teamwork, but it happened. When I saw those funds returned, I cried with joy. I'm sharing this so that anyone else out there who's been scammed knows—don't lose hope. Do your research before investing, and stay far away from platforms that promise too much too fast. And if you've already been stung, don't wait—get professional help immediately. Thank you, Fundsretriever, from the bottom of my heart. You didn't just recover my money—you restored my faith. — Vanessa Conway 📧 [email protected] 📱 WhatsApp: +16035121448 💬 Telegram: @Fundsretriever
19.07.26 19:53 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
19.07.26 19:53 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
19.07.26 19:54 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
30.07.26 00:04 Ahmed

A really cool analysis, thank you. I was especially struck by how strictly the order is defined: data processing and formatting come first, with color only at the very end. This really saves you from the typical mistake of "first a pretty palette, then we figure out what the chart is for." And the palette validator with OKLCH + colorblindness check is absolutely fantastic; you almost never see that in regular tools. By the way, while reading about rank-trajectory and the logarithmic scale, I immediately remembered how convenient it is to analyze dynamics on charts in ExpertOption—I've been trading there for quite some time now. When the data is well visualized, decisions are noticeably easier and more relaxed. I also liked the point about "no more than eight colors" and the dual-axis ban. Strict restrictions sometimes actually produce better results than complete freedom. I'll try this approach myself.
30.07.26 17:27 wendytaylor015

My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
30.07.26 17:27 wendytaylor015

My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1
31.07.26 16:21 rssllhrnsb

I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Doris Ashley, who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina TEXT : (tatianasorina06 at G.Ma IL ..c 0 m ) Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.
01.08.26 15:05 keithwilson9899

ETHEREUM RECOVERY ASSISTANCE: CAPITAL CRYPTO RECOVER HELPED ME RECOVER $98,000 WORTH OF LOST ETH In cases of cryptocurrency scams, having accurate information and trusted support is essential. I would like to recommend Capital Crypto Recover Service, a professional team that specializes in assisting individuals with the recovery of lost or stolen Bitcoin and Ethereum (ETH). Their experienced experts are dedicated to helping victims of digital asset fraud by carefully analyzing each case, developing strategic recovery plans, Capital Crypto Recover Service knowledgeable team's primary goals are to satisfy clients and offer significant support and working diligently toward fund retrieval. The team is committed to providing reliable assistance and maintaining a high level of client satisfaction. Based on my assessment, their reputation professionalism and a strong commitment to their clients. If you have experienced a cryptocurrency loss, you can contacting them for further assistance Phone (Call/Text): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
01.08.26 15:05 keithwilson9899

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03.08.26 20:05 Philip

I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
03.08.26 20:06 Philip

I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
04.08.26 11:05 Kisnoles

Excellent analysis, thank you. I was particularly struck by how rigidly the skill sets the order: data processing and form come first, with color coming last. This really cures the habit of "first a pretty palette, then we'll figure it out." A palette validator using OKLCH + color blindness + WCAG is something most chart generators lack. And regarding the boundaries of competence, it's very clear. Where there's a self-checking loop (color), you delegate freely. Where there's a heuristic (form, data interpretation), you remain the final filter. This is a universal principle, not just for /dataviz. By the way, when you look at trading dashboards (including those of decent platforms like ExpertOption), it's immediately clear who thought about readability and who just threw in rainbow lines. Tools like this skill could greatly improve the quality of analytics. Thanks again for the detailed analysis – saved.
04.08.26 12:37 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
04.08.26 12:37 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
06.08.26 08:11 ROMMYHENDERSON344

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06.08.26 13:56 lydiassmith567

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11.08.26 03:43 raymont0714

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12.08.26 16:37 rssllhrnsb

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16.08.26 01:44 Matt Kegan

CapitalNode Analytics. They help to investigate and recover stolen digital assets from fake trading platforms. Great firm i must say.
18.08.26 04:59 marcushenderson624

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18.08.26 04:59 marcushenderson624

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19.08.26 14:50 BAYER7043

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20.08.26 11:32 michaeldavenport218

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20.08.26 11:32 michaeldavenport218

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23.08.26 20:02 leslieyee

Excellent analysis by /dataviz! I was particularly struck by how strictly the order is defined: "data meaning first, color last" and how the validator actually adjusts the palette according to OKLCH, color blindness, and WCAG standards. These rules greatly improve the quality of charts. By the way, a similar approach to clean and legible charts is highly valued in trading—for example, on the ExpertOption platform, the interface and price visualization are designed to ensure information is read instantly and without unnecessary noise.
25.08.26 13:44 lydiassmith567

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25.08.26 13:44 lydiassmith567

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30.08.26 15:37 [email protected]

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30.08.26 15:37 [email protected]

Discovering I had been defrauded, I searched online for services claiming to recover stolen ETH. I contacted several companies, but none succeeded. Although some claimed they could trace assets or recover funds, I could not verify their success or recover my money. I later found SYLVESTER BRYANT Recovery through Google. After contacting him, he recovered 450,000,00. He can be reached at [email protected] or WhatsApp at +1 512 577 7957.
01.09.26 11:16 lisawerth897

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01.09.26 11:16 lisawerth897

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01.09.26 17:34 Garry42

Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.
01.09.26 17:34 Garry42

Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.
02.09.26 03:43 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
02.09.26 03:43 kimberlyhebertt6877

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04.09.26 21:51 Kovengray

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05.09.26 21:38 [email protected]

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09.09.26 21:31 lisawerth897

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09.09.26 21:31 lisawerth897

My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
09.09.26 23:22 Fraddy Pual

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11.09.26 03:23 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
11.09.26 03:23 kimberlyhebertt6877

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15.09.26 03:35 elioduncan

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06.10.26 06:13 melissathomason573

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06.10.26 06:13 melissathomason573

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06.10.26 17:44 Darrell1717

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11.10.26 03:04 Patricia014

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13.10.26 14:14 lisalisa22

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13.10.26 14:14 lisalisa22

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17.10.26 12:58 melissathomason573

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17.10.26 12:58 melissathomason573

Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
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25.10.26 14:35 lydiasmitth456

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25.10.26 14:35 lydiasmitth456

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27.10.26 01:58 KATHLEEN

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27.10.26 02:22 kimberlyhebertt6877

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27.10.26 02:22 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
27.10.26 02:25 KATHLEEN

Cyberspacetechexpert focuses on recovering stolen cryptocurrency, particularly USDT and bitcoin. She is well-known for helping victims of digital asset theft. Her reputation arises from successful recoveries that have allowed many to regain their lost funds. I witnessed this when $74,000 was taken from me in January. Thanks to the best female hacker Gracias, I recovered the entire amount in just 14 hours. Her prompt response and effective methods relieved my financial burden. Her commitment to helping others is evident. She is always available to offer solutions to those facing similar problems. For assistance, she can be reached via email Cyberspacetechexpert@gmail .com. or speak to her on What App at + 44 7476618364.
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