Проект для распознавания речи на русском языке на основе pykaldi.
Welcome to my page! I'm Sergey, NLP Engineer from 🇷🇺 Moscow, Russia, currently living in 🇨🇴 Cartagena, Colombia.
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Добрый день,
запускаю из докера, положил wav файл в папку /archive/wav, запускаю командой:
./start_recognition.py /archive/wav /archive/output -dw -l
В output создался пустой файл transcriptions.csv, в нем полезных данных нет.
В консоли:
Обнаружено 1 .WAV файлов
0%| | 0/1 [00:00<?, ?it/s]LOG ([5.5.201~1-7d4bd]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 1 orphan nodes.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 2 orphan components.
LOG ([5.5.201~1-7d4bd]:Collapse():nnet-utils.cc:1378) Added 1 components, removed 2
compute-mfcc-feats --verbose=0 --config=model/conf/mfcc_hires.conf scp:/archive/output/temp/dedushka/wav.scp ark:-
LOG (compute-mfcc-feats[5.5.201~1-7d4bd]:main():compute-mfcc-feats.cc:176) Done 1 out of 1 utterances.
LOG ([5.5.201~1-7d4bd]:CheckAndFixConfigs():nnet-am-decodable-simple.cc:300) Increasing --frames-per-chunk from 150 to 162 due to --frame-subsampling-factor=1 and nnet shift-invariance modulus = 18
extract-segments scp:/archive/output/temp/dedushka/wav.scp /archive/output/temp/dedushka/segments scp:/archive/output/temp/dedushka/wav_segments.scp
LOG (extract-segments[5.5.201~1-7d4bd]:main():extract-segments.cc:193) Successfully processed 88 lines out of 88 in the segments file.
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
LOG ([5.5.201~1-7d4bd]:~CachingOptimizingCompiler():nnet-optimize.cc:710) 0.0906 seconds taken in nnet3 compilation total (breakdown: 0.0763 compilation, 0.00684 optimization, 0 shortcut expansion, 0.00154 checking, 3.48e-05 computing indexes, 0.00592 misc.) + 0 I/O.
100%|█████████████████████████████████████████████████████████████████████████████████| 1/1 [00:21<00:00, 21.50s/it]
В логе:
2021-03-04 21:26:09 INFO Запуск распознавания речи
2021-03-04 21:26:09 DEBUG Количество процессов: 8
2021-03-04 21:26:09 INFO Запуск сегментации файла 'dedushka.wav'
2021-03-04 21:26:27 INFO Завершение сегментации файла 'dedushka.wav'
2021-03-04 21:26:27 INFO Запуск извлечения сегментов из файла 'dedushka.wav'
2021-03-04 21:26:30 INFO Завершение извлечения сегментов из файла 'dedushka.wav'
2021-03-04 21:26:30 INFO Запуск распознавания файла 'dedushka.wav'
2021-03-04 21:26:30 ERROR Не удалось выполнить распознавание файла 'dedushka.wav'
2021-03-04 21:26:31 INFO Завершение распознавания речи
Подскажите что я делаю не так?
hello.
start_recognition.py runs on CPU.
can i run it on GPU? what do i need to change in code to do that?
Не удается установить по инструкции ни вручную ни через docker. Нет ли образа работающей виртуалки?
с докером выглядит так:
(base) root@pykaldi:# docker pull ghcr.io/sergeyshk/stt-ru:0.2.0# docker volume create -d local -o type=none -o o=bind -o device=[DIR] asr_volume
0.2.0: Pulling from sergeyshk/stt-ru
Digest: sha256:f0fc5970bedf27a54c88b84382bf96bb448499caf1abce5c5cccd199bbe7a524
Status: Image is up to date for ghcr.io/sergeyshk/stt-ru:0.2.0
ghcr.io/sergeyshk/stt-ru:0.2.0
(base) root@pykaldi:
asr_volume
(base) root@pykaldi:~# docker run -it --rm -p 9000:9000 -p 5000:5000 -v asr_volume:/archive speech_recognition
Unable to find image 'speech_recognition:latest' locally
прилагаю две пикчи с проблемой.
Доброго времени суток.
Столкнулся с проблемой распознавания большого кол-ва файлов
в папке 360 000 файлов - распознается только 100~ , остальное перемещается в error
НО! Если я прогоняю эти файлы отдельно - всё работает и всё распознается
Как решить проблему?
Добрый день!
Можете исправить глобальные пути в ivector_extractor.conf(или хотя бы прописать это в инструкции), а то без их правки невозможно запустить start_recognition.py
Ругается на ERROR: Failed building wheel for llvmlite
nothing
Доброго дня!
Не совсем понимаю, как добавить в PATH пути к компонентам kaldi. Подскажите пожалуйста как правильно это сделать
Установил с помощью Docker, в качестве [DIR] при установке указал home/{user}/ASR
Папка при этом осталась пустой. Добавил в неё archive, в него input и output директории, но при вызове в Docker ./start_recognition.py [WAV_DIR] [OUT_DIR] ничего не выводится и процесс завершается
Подскажите, как это можно пофиксить, или, возможно, есть готовая виртуалка с поднятым приложением?
При распознавании с помощью start_recognition.py дублируются строки, порой с незначительными изменениями.
Пример видео: https://www.youtube.com/watch?v=R1fzIrUUBoM&ab_channel=%D0%9C%D1%8B%D1%81%D0%BB%D0%B8%D0%9F%D0%B0%D0%BF%D0%B8%D1%87%D0%B0
И результат распознавания первых нескольких секунд:
00:00:00: ну шо
00:00:00: ну шо
00:00:01.820000: давай кролика
00:00:01.820000: давай кролика
00:00:07.690000: сама ума
00:00:07.700000: маула
00:00:09.690000: дурно но но но но но но но но но но для часы
00:00:10.830000: но но но но но но но но но но для часы
00:00:14.080000: леонидович снова шеф
00:00:14.150000: оленину
00:00:20.900000:
00:00:21.660000: ср
00:00:23.480000: не накажу по перевезем
00:00:23.520000: не накажу покуда не везёт
00:00:25.190000: это не мне
00:00:25.190000: это не мне
00:00:27.080000: разумею дала претензий не имею слоняюсь по кому-то другому опять разрыв
00:00:27.080000: разумею дала претензий не имею слоняюсь по кому-то другому опять зрозумёв
00:00:38.220000: ай да
00:00:38.230000: ай да
00:00:46.320000: материализовались
00:00:46.330000: материализовались
00:00:51.540000: ха ха ха ха
00:00:51.540000: ага
00:00:58.200000: ба
00:00:58.210000: ба
00:01:05.150000:
00:01:05.870000:
00:01:13.280000:
00:01:29.470000: так какой же
00:01:30.810000:
00:01:38.800000: ты
00:01:39.900000: четыре раза подряд этакого не видел никогда в жизни
00:01:40.350000: сразу подряда такого не видел никогда в жизни
00:01:44.720000: по его ещё мало
00:01:44.720000: по его ещё мало
00:01:48.200000: мало
00:01:48.220000: мало
00:01:53.610000: ха ха ха ха ха ха ха
При сборке происходит следущее:
Sending build context to Docker daemon 2.56kB
Step 1/12 : FROM pykaldi/pykaldi
---> b33c25601425
Step 2/12 : ENV PATH /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/kaldi/src/featbin:/kaldi/src/ivectorbin:/kaldi/src/online2bin:/kaldi/src/rnnlmbin:/kaldi/src/fstbin:$PATH
---> Running in 460e06d76016
Removing intermediate container 460e06d76016
---> 1451450bc8ce
Step 3/12 : ENV LC_ALL C.UTF-8
---> Running in 25d69c425b12
Removing intermediate container 25d69c425b12
---> afb8e92ec76f
Step 4/12 : ENV TZ=Europe/Moscow
---> Running in 3db3d58aea2b
Removing intermediate container 3db3d58aea2b
---> 6f2e4fe40e5a
Step 5/12 : RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
---> Running in 8a88074d4276
Removing intermediate container 8a88074d4276
---> 77859f497e8a
Step 6/12 : RUN apt-get update
---> Running in ee7b439fcd8c
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Fetched 11.1 MB in 11s (1037 kB/s)
Reading package lists...
Removing intermediate container ee7b439fcd8c
---> e8535da548e8
Step 7/12 : RUN apt-get install -y llvm-8 ffmpeg
---> Running in 9029296f5502
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
binfmt-support i965-va-driver libaacs0 libass9 libasyncns0 libavc1394-0
libavcodec57 libavdevice57 libavfilter6 libavformat57 libavresample3
libavutil55 libbdplus0 libbluray2 libbs2b0 libcaca0 libcdio-cdda2
libcdio-paranoia2 libcdio17 libchromaprint1 libcroco3 libcrystalhd3
libdc1394-22 libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2
libdrm-radeon1 libdrm2 libegl-mesa0 libegl1 libelf1 libffi-dev
libfftw3-double3 libflite1 libfribidi0 libgbm1 libgdk-pixbuf2.0-0
libgdk-pixbuf2.0-bin libgdk-pixbuf2.0-common libgl1 libgl1-mesa-dri
libglapi-mesa libglvnd0 libglx-mesa0 libglx0 libgme0 libiec61883-0
libjack-jackd2-0 libllvm10 libllvm8 libmp3lame0 libmpg123-0 libmysofa0
libnorm1 libnuma1 libopenal-data libopenal1 libopenjp2-7 libopenmpt0
libopus0 libpciaccess0 libpgm-5.2-0 libpipeline1 libpostproc54 libpulse0
libraw1394-11 librsvg2-2 librsvg2-common librubberband2 libsamplerate0
libsdl2-2.0-0 libsensors4 libshine3 libslang2 libsnappy1v5 libsndio6.1
libsodium23 libsoxr0 libspeex1 libssh-gcrypt-4 libswresample2 libswscale4
libtheora0 libtinfo-dev libtwolame0 libusb-1.0-0 libva-drm2 libva-x11-2
libva2 libvdpau1 libvpx5 libwayland-client0 libwayland-cursor0
libwayland-egl1 libwayland-egl1-mesa libwayland-server0 libwebpmux3 libwrap0
libx11-xcb1 libx264-152 libx265-146 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0
libxcb-present0 libxcb-shape0 libxcb-sync1 libxcb-xfixes0 libxcursor1
libxdamage1 libxfixes3 libxi6 libxinerama1 libxkbcommon0 libxrandr2
libxshmfence1 libxss1 libxv1 libxvidcore4 libxxf86vm1 libzmq5 libzvbi-common
libzvbi0 llvm-8-dev llvm-8-runtime mesa-va-drivers mesa-vdpau-drivers
va-driver-all vdpau-driver-all xkb-data
Suggested packages:
ffmpeg-doc i965-va-driver-shaders libbluray-bdj firmware-crystalhd
libfftw3-bin libfftw3-dev jackd2 libportaudio2 opus-tools pciutils
pulseaudio libraw1394-doc librsvg2-bin lm-sensors sndiod speex llvm-8-doc
libvdpau-va-gl1 nvidia-vdpau-driver nvidia-legacy-340xx-vdpau-driver
The following NEW packages will be installed:
binfmt-support ffmpeg i965-va-driver libaacs0 libass9 libasyncns0
libavc1394-0 libavcodec57 libavdevice57 libavfilter6 libavformat57
libavresample3 libavutil55 libbdplus0 libbluray2 libbs2b0 libcaca0
libcdio-cdda2 libcdio-paranoia2 libcdio17 libchromaprint1 libcroco3
libcrystalhd3 libdc1394-22 libdrm-amdgpu1 libdrm-common libdrm-intel1
libdrm-nouveau2 libdrm-radeon1 libdrm2 libegl-mesa0 libegl1 libelf1
libffi-dev libfftw3-double3 libflite1 libfribidi0 libgbm1 libgdk-pixbuf2.0-0
libgdk-pixbuf2.0-bin libgdk-pixbuf2.0-common libgl1 libgl1-mesa-dri
libglapi-mesa libglvnd0 libglx-mesa0 libglx0 libgme0 libiec61883-0
libjack-jackd2-0 libllvm10 libllvm8 libmp3lame0 libmpg123-0 libmysofa0
libnorm1 libnuma1 libopenal-data libopenal1 libopenjp2-7 libopenmpt0
libopus0 libpciaccess0 libpgm-5.2-0 libpipeline1 libpostproc54 libpulse0
libraw1394-11 librsvg2-2 librsvg2-common librubberband2 libsamplerate0
libsdl2-2.0-0 libsensors4 libshine3 libslang2 libsnappy1v5 libsndio6.1
libsodium23 libsoxr0 libspeex1 libssh-gcrypt-4 libswresample2 libswscale4
libtheora0 libtinfo-dev libtwolame0 libusb-1.0-0 libva-drm2 libva-x11-2
libva2 libvdpau1 libvpx5 libwayland-client0 libwayland-cursor0
libwayland-egl1 libwayland-egl1-mesa libwayland-server0 libwebpmux3 libwrap0
libx11-xcb1 libx264-152 libx265-146 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0
libxcb-present0 libxcb-shape0 libxcb-sync1 libxcb-xfixes0 libxcursor1
libxdamage1 libxfixes3 libxi6 libxinerama1 libxkbcommon0 libxrandr2
libxshmfence1 libxss1 libxv1 libxvidcore4 libxxf86vm1 libzmq5 libzvbi-common
libzvbi0 llvm-8 llvm-8-dev llvm-8-runtime mesa-va-drivers mesa-vdpau-drivers
va-driver-all vdpau-driver-all xkb-data
0 upgraded, 133 newly installed, 0 to remove and 126 not upgraded.
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Get:54 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libbs2b0 amd64 3.1.0+dfsg-2.2 [10.5 kB]
Get:55 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libflite1 amd64 2.1-release-1 [12.8 MB]
Get:56 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libmysofa0 amd64 0.6~dfsg0-3+deb10u1build1 [38.5 kB]
Get:57 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libpostproc54 amd64 7:3.4.8-0ubuntu0.2 [50.3 kB]
Get:58 http://archive.ubuntu.com/ubuntu bionic/main amd64 libfftw3-double3 amd64 3.3.7-1 [735 kB]
Get:59 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsamplerate0 amd64 0.1.9-1 [938 kB]
Get:60 http://archive.ubuntu.com/ubuntu bionic/universe amd64 librubberband2 amd64 1.8.1-7ubuntu2 [86.7 kB]
Get:61 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libswscale4 amd64 7:3.4.8-0ubuntu0.2 [150 kB]
Get:62 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libnorm1 amd64 1.5r6+dfsg1-6 [224 kB]
Get:63 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libpgm-5.2-0 amd64 5.2.122~dfsg-2 [157 kB]
Get:64 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsodium23 amd64 1.0.16-2 [143 kB]
Get:65 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libzmq5 amd64 4.2.5-1ubuntu0.2 [221 kB]
Get:66 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libavfilter6 amd64 7:3.4.8-0ubuntu0.2 [874 kB]
Get:67 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libcaca0 amd64 0.99.beta19-2ubuntu0.18.04.3 [203 kB]
Get:68 http://archive.ubuntu.com/ubuntu bionic/main amd64 libcdio17 amd64 1.0.0-2ubuntu2 [58.8 kB]
Get:69 http://archive.ubuntu.com/ubuntu bionic/main amd64 libcdio-cdda2 amd64 10.2+0.94+2-2build1 [17.7 kB]
Get:70 http://archive.ubuntu.com/ubuntu bionic/main amd64 libcdio-paranoia2 amd64 10.2+0.94+2-2build1 [17.2 kB]
Get:71 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libdc1394-22 amd64 2.2.5-1 [77.5 kB]
Get:72 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libglvnd0 amd64 1.0.0-2ubuntu2.3 [47.0 kB]
Get:73 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libglapi-mesa amd64 20.0.8-0ubuntu1~18.04.1 [26.6 kB]
Get:74 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libx11-xcb1 amd64 2:1.6.4-3ubuntu0.4 [9720 B]
Get:75 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-dri2-0 amd64 1.13-2~ubuntu18.04 [6920 B]
Get:76 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-dri3-0 amd64 1.13-2~ubuntu18.04 [6568 B]
Get:77 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-glx0 amd64 1.13-2~ubuntu18.04 [22.1 kB]
Get:78 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-present0 amd64 1.13-2~ubuntu18.04 [5552 B]
Get:79 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-sync1 amd64 1.13-2~ubuntu18.04 [8808 B]
Get:80 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxdamage1 amd64 1:1.1.4-3 [6934 B]
Get:81 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxshmfence1 amd64 1.3-1 [5028 B]
Get:82 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libdrm-amdgpu1 amd64 2.4.101-2~18.04.1 [18.2 kB]
Get:83 http://archive.ubuntu.com/ubuntu bionic/main amd64 libpciaccess0 amd64 0.14-1 [17.9 kB]
Get:84 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libdrm-intel1 amd64 2.4.101-2~18.04.1 [60.0 kB]
Get:85 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libdrm-nouveau2 amd64 2.4.101-2~18.04.1 [16.5 kB]
Get:86 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libdrm-radeon1 amd64 2.4.101-2~18.04.1 [21.7 kB]
Get:87 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libllvm10 amd64 1:10.0.0-4ubuntu1~18.04.2 [15.4 MB]
Get:88 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsensors4 amd64 1:3.4.0-4 [28.8 kB]
Get:89 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libgl1-mesa-dri amd64 20.0.8-0ubuntu1~18.04.1 [9333 kB]
Get:90 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libglx-mesa0 amd64 20.0.8-0ubuntu1~18.04.1 [139 kB]
Get:91 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libglx0 amd64 1.0.0-2ubuntu2.3 [28.1 kB]
Get:92 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libgl1 amd64 1.0.0-2ubuntu2.3 [86.2 kB]
Get:93 http://archive.ubuntu.com/ubuntu bionic/main amd64 libiec61883-0 amd64 1.2.0-2 [23.5 kB]
Get:94 http://archive.ubuntu.com/ubuntu bionic/main amd64 libjack-jackd2-0 amd64 1.9.12~dfsg-2 [263 kB]
Get:95 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libopenal-data all 1:1.18.2-2 [102 kB]
Get:96 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libsndio6.1 amd64 1.1.0-3 [23.4 kB]
Get:97 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libopenal1 amd64 1:1.18.2-2 [266 kB]
Get:98 http://archive.ubuntu.com/ubuntu bionic/main amd64 libasyncns0 amd64 0.8-6 [12.1 kB]
Get:99 http://archive.ubuntu.com/ubuntu bionic/main amd64 libwrap0 amd64 7.6.q-27 [46.3 kB]
Get:100 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libpulse0 amd64 1:11.1-1ubuntu7.11 [266 kB]
Get:101 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libwayland-client0 amd64 1.16.0-1ubuntu1.1~18.04.3 [23.6 kB]
Get:102 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libwayland-cursor0 amd64 1.16.0-1ubuntu1.1~18.04.3 [10.1 kB]
Get:103 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libwayland-server0 amd64 1.16.0-1ubuntu1.1~18.04.3 [29.6 kB]
Get:104 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libgbm1 amd64 20.0.8-0ubuntu1~18.04.1 [27.6 kB]
Get:105 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-xfixes0 amd64 1.13-2~ubuntu18.04 [9352 B]
Get:106 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libegl-mesa0 amd64 20.0.8-0ubuntu1~18.04.1 [96.3 kB]
Get:107 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libegl1 amd64 1.0.0-2ubuntu2.3 [32.0 kB]
Get:108 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libwayland-egl1 amd64 1.16.0-1ubuntu1.1~18.04.3 [5464 B]
Get:109 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libwayland-egl1-mesa amd64 20.0.8-0ubuntu1~18.04.1 [6444 B]
Get:110 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxcursor1 amd64 1:1.1.15-1 [19.8 kB]
Get:111 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxi6 amd64 2:1.7.9-1 [29.2 kB]
Get:112 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxkbcommon0 amd64 0.8.2-1~ubuntu18.04.1 [97.8 kB]
Get:113 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxrandr2 amd64 2:1.5.1-1 [18.1 kB]
Get:114 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libsdl2-2.0-0 amd64 2.0.8+dfsg1-1ubuntu1.18.04.4 [382 kB]
Get:115 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-shape0 amd64 1.13-2~ubuntu18.04 [5972 B]
Get:116 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxv1 amd64 2:1.0.11-1 [10.7 kB]
Get:117 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libavdevice57 amd64 7:3.4.8-0ubuntu0.2 [74.9 kB]
Get:118 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 ffmpeg amd64 7:3.4.8-0ubuntu0.2 [1587 kB]
Get:119 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libaacs0 amd64 0.9.0-1 [51.4 kB]
Get:120 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libbdplus0 amd64 0.1.2-2 [46.6 kB]
Get:121 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgdk-pixbuf2.0-bin amd64 2.36.11-2 [7864 B]
Get:122 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libllvm8 amd64 1:8-3~ubuntu18.04.2 [13.6 MB]
Get:123 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 librsvg2-common amd64 2.40.20-2ubuntu0.2 [5064 B]
Get:124 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libtinfo-dev amd64 6.1-1ubuntu1.18.04 [81.3 kB]
Get:125 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 llvm-8-runtime amd64 1:8-3~ubuntu18.04.2 [166 kB]
Get:126 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 llvm-8 amd64 1:8-3~ubuntu18.04.2 [4585 kB]
Get:127 http://archive.ubuntu.com/ubuntu bionic/main amd64 libffi-dev amd64 3.2.1-8 [156 kB]
Get:128 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 llvm-8-dev amd64 1:8-3~ubuntu18.04.2 [24.9 MB]
Get:129 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 mesa-va-drivers amd64 20.0.8-0ubuntu1~18.04.1 [2376 kB]
Get:130 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 mesa-vdpau-drivers amd64 20.0.8-0ubuntu1~18.04.1 [2496 kB]
Get:131 http://archive.ubuntu.com/ubuntu bionic/universe amd64 i965-va-driver amd64 2.1.0-0ubuntu1 [925 kB]
Get:132 http://archive.ubuntu.com/ubuntu bionic/universe amd64 va-driver-all amd64 2.1.0-3 [4376 B]
Get:133 http://archive.ubuntu.com/ubuntu bionic/main amd64 vdpau-driver-all amd64 1.1.1-3ubuntu1 [4674 B]
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mount: /proc/sys/fs/binfmt_misc: permission denied.
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mount: /proc/sys/fs/binfmt_misc: permission denied.
update-binfmts: warning: Couldn't mount the binfmt_misc filesystem on /proc/sys/fs/binfmt_misc.
mount: /proc/sys/fs/binfmt_misc: permission denied.
update-binfmts: warning: Couldn't mount the binfmt_misc filesystem on /proc/sys/fs/binfmt_misc.
invoke-rc.d: could not determine current runlevel
invoke-rc.d: policy-rc.d denied execution of start.
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mount: /proc/sys/fs/binfmt_misc: permission denied.
update-binfmts: warning: Couldn't mount the binfmt_misc filesystem on /proc/sys/fs/binfmt_misc.
Setting up libgdk-pixbuf2.0-0:amd64 (2.36.11-2) ...
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Removing intermediate container 9029296f5502
---> 46c82fac3039
Step 8/12 : RUN LLVM_CONFIG=/usr/bin/llvm-config-8 pip3 install enum34 llvmlite numba
---> Running in 7c1d504fbf92
Collecting enum34
Downloading enum34-1.1.10-py3-none-any.whl (11 kB)
Collecting llvmlite
Downloading llvmlite-0.36.0-cp36-cp36m-manylinux2010_x86_64.whl (25.3 MB)
Collecting numba
Downloading numba-0.53.1-cp36-cp36m-manylinux2014_x86_64.whl (3.4 MB)
Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.6/dist-packages (from numba) (1.18.2)
Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from numba) (46.1.3)
Installing collected packages: enum34, llvmlite, numba
Successfully installed enum34-1.1.10 llvmlite-0.36.0 numba-0.53.1
WARNING: You are using pip version 20.0.2; however, version 21.3.1 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
Removing intermediate container 7c1d504fbf92
---> 1ce46667fd05
Step 9/12 : RUN pip install --upgrade pip tqdm pandas matplotlib seaborn librosa sox pysubs2 flask soundfile
---> Running in a767cb2aac4e
Collecting pip
Downloading pip-21.3.1-py3-none-any.whl (1.7 MB)
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Collecting soundfile
Downloading SoundFile-0.10.3.post1-py2.py3-none-any.whl (21 kB)
Requirement already satisfied, skipping upgrade: numpy>=1.15.4 in /usr/local/lib/python3.6/dist-packages (from pandas) (1.18.2)
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Requirement already satisfied, skipping upgrade: python-dateutil>=2.7.3 in /usr/local/lib/python3.6/dist-packages (from pandas) (2.8.1)
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Collecting scipy>=1.0
Downloading scipy-1.5.4-cp36-cp36m-manylinux1_x86_64.whl (25.9 MB)
Collecting resampy>=0.2.2
Downloading resampy-0.2.2.tar.gz (323 kB)
Requirement already satisfied, skipping upgrade: numba>=0.43.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (0.53.1)
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Requirement already satisfied, skipping upgrade: decorator>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from librosa) (4.4.2)
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Requirement already satisfied, skipping upgrade: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.7.3->pandas) (1.14.0)
Requirement already satisfied, skipping upgrade: llvmlite<0.37,>=0.36.0rc1 in /usr/local/lib/python3.6/dist-packages (from numba>=0.43.0->librosa) (0.36.0)
Requirement already satisfied, skipping upgrade: setuptools in /usr/local/lib/python3.6/dist-packages (from numba>=0.43.0->librosa) (46.1.3)
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Requirement already satisfied, skipping upgrade: importlib-metadata; python_version < "3.8" in /usr/local/lib/python3.6/dist-packages (from click>=7.1.2->flask) (1.6.0)
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Building wheels for collected packages: resampy, audioread
Building wheel for resampy (setup.py): started
Building wheel for resampy (setup.py): finished with status 'done'
Created wheel for resampy: filename=resampy-0.2.2-py3-none-any.whl size=321052 sha256=be0d11e65298ea2c6185edd784f4bf7af177e9d60a1d72c1b8cf4d05bdc2ffa6
Stored in directory: /root/.cache/pip/wheels/cf/d4/04/49d8824a42bd9f9b11d502727965b9997f0d41d2b22ae4f645
Building wheel for audioread (setup.py): started
Building wheel for audioread (setup.py): finished with status 'done'
Created wheel for audioread: filename=audioread-2.1.9-py3-none-any.whl size=26175 sha256=89536b43ff5e9194bafca8dddb65dd6da5ece830e200789ee7b43627d8b0d865
Stored in directory: /root/.cache/pip/wheels/de/14/0a/863e4ed680b3204444cf486733e609d7ff7abe8fceafab67dc
Successfully built resampy audioread
Installing collected packages: pip, tqdm, pytz, pandas, cycler, kiwisolver, pillow, matplotlib, scipy, seaborn, resampy, packaging, appdirs, charset-normalizer, urllib3, certifi, requests, pooch, pycparser, cffi, soundfile, joblib, audioread, threadpoolctl, scikit-learn, librosa, sox, pysubs2, click, MarkupSafe, Jinja2, itsdangerous, dataclasses, Werkzeug, flask
Attempting uninstall: pip
Found existing installation: pip 20.0.2
Uninstalling pip-20.0.2:
Successfully uninstalled pip-20.0.2
Attempting uninstall: MarkupSafe
Found existing installation: MarkupSafe 1.1.1
Uninstalling MarkupSafe-1.1.1:
Successfully uninstalled MarkupSafe-1.1.1
Attempting uninstall: Jinja2
Found existing installation: Jinja2 2.11.2
Uninstalling Jinja2-2.11.2:
Successfully uninstalled Jinja2-2.11.2
Successfully installed Jinja2-3.0.3 MarkupSafe-2.0.1 Werkzeug-2.0.2 appdirs-1.4.4 audioread-2.1.9 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.11 click-8.0.3 cycler-0.11.0 dataclasses-0.8 flask-2.0.2 itsdangerous-2.0.1 joblib-1.1.0 kiwisolver-1.3.1 librosa-0.8.1 matplotlib-3.3.4 packaging-21.3 pandas-1.1.5 pillow-8.4.0 pip-21.3.1 pooch-1.6.0 pycparser-2.21 pysubs2-0.2.4 pytz-2021.3 requests-2.27.1 resampy-0.2.2 scikit-learn-0.24.2 scipy-1.5.4 seaborn-0.11.2 soundfile-0.10.3.post1 sox-1.4.1 threadpoolctl-3.1.0 tqdm-4.62.3 urllib3-1.26.8
Removing intermediate container a767cb2aac4e
---> a5a6e5890193
Step 10/12 : WORKDIR speech_recognition
---> Running in 66a31cf0b1be
Removing intermediate container 66a31cf0b1be
---> 68149c9d6966
Step 11/12 : RUN echo "cat motd" >> /root/.bashrc
---> Running in 9bd29f309ccc
Removing intermediate container 9bd29f309ccc
---> bcf1800dbf67
Step 12/12 : COPY . ./
---> 135a5d103d63
Successfully built 135a5d103d63
Successfully tagged speech_recognition:latest
После запуска:
root@server:/mnt/asr_volume# docker run -it --rm -p 9000:9000 -p 5000:5000 -v asr_volume:/archive speech_recognition
cat: motd: No such file or directory
root@8267ad679b2d:/speech_recognition# ls
Dockerfile
root@8267ad679b2d:/speech_recognition#
Куда копать?
Закинул файлы из examples/data в /archive и пытаюсь распознать.
Получаю ошибку ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
Подскажите в чём может быть проблема.
root@ad722f0a8bcf:/speech_recognition/examples/data# ls
example.0-2-0000746-0000832.wav example.1-2-0000078-0000700.wav example.1-2-0000940-0001262.wav example.csv example.wav example_segments.scp spk2utt utt2spk
example.0-2-0001277-0001377.wav example.1-2-0000700-0000886.wav example.ass example.scp example_mfcc.ark segments transcriptions
root@ad722f0a8bcf:/speech_recognition/examples/data# cp *.wav /archive/
root@ad722f0a8bcf:/speech_recognition/examples/data# ls
example.0-2-0000746-0000832.wav example.1-2-0000078-0000700.wav example.1-2-0000940-0001262.wav example.csv example.wav example_segments.scp spk2utt utt2spk
example.0-2-0001277-0001377.wav example.1-2-0000700-0000886.wav example.ass example.scp example_mfcc.ark segments transcriptions
root@ad722f0a8bcf:/speech_recognition/examples/data# ls /archive/
example.0-2-0000746-0000832.wav example.0-2-0001277-0001377.wav example.1-2-0000078-0000700.wav example.1-2-0000700-0000886.wav example.1-2-0000940-0001262.wav example.wav out
root@ad722f0a8bcf:/speech_recognition/examples/data# cd ..
root@ad722f0a8bcf:/speech_recognition/examples# cd ..
root@ad722f0a8bcf:/speech_recognition# ./start_recognition.py /archive/ /archive/out/ -dw -l
Обнаружено 6 .WAV файлов
0%| | 0/6 [00:00<?, ?it/s]LOG ([5.5.201~1-7d4bd]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 1 orphan nodes.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 2 orphan components.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 1 orphan nodes.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 2 orphan components.
LOG ([5.5.201~1-7d4bd]:Collapse():nnet-utils.cc:1378) Added 1 components, removed 2
LOG ([5.5.201~1-7d4bd]:Collapse():nnet-utils.cc:1378) Added 1 components, removed 2
LOG ([5.5.201~1-7d4bd]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 1 orphan nodes.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 2 orphan components.
LOG ([5.5.201~1-7d4bd]:Collapse():nnet-utils.cc:1378) Added 1 components, removed 2
LOG ([5.5.201~1-7d4bd]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 1 orphan nodes.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 2 orphan components.
LOG ([5.5.201~1-7d4bd]:Collapse():nnet-utils.cc:1378) Added 1 components, removed 2
compute-mfcc-feats --verbose=0 --config=model/conf/mfcc_hires.conf scp:/archive/out/temp/example.1-2-0000078-0000700/wav.scp ark:-
compute-mfcc-feats --verbose=0 --config=model/conf/mfcc_hires.conf scp:/archive/out/temp/example.1-2-0000940-0001262/wav.scp ark:-
compute-mfcc-feats --verbose=0 --config=model/conf/mfcc_hires.conf scp:/archive/out/temp/example.1-2-0000700-0000886/wav.scp ark:-
compute-mfcc-feats --verbose=0 --config=model/conf/mfcc_hires.conf scp:/archive/out/temp/example.0-2-0000746-0000832/wav.scp ark:-
LOG (compute-mfcc-feats[5.5.201~1-7d4bd]:main():compute-mfcc-feats.cc:176) Done 1 out of 1 utterances.
LOG (compute-mfcc-feats[5.5.201~1-7d4bd]:main():compute-mfcc-feats.cc:176) Done 1 out of 1 utterances.
LOG (compute-mfcc-feats[5.5.201~1-7d4bd]:main():compute-mfcc-feats.cc:176) Done 1 out of 1 utterances.
LOG (compute-mfcc-feats[5.5.201~1-7d4bd]:main():compute-mfcc-feats.cc:176) Done 1 out of 1 utterances.
LOG ([5.5.201~1-7d4bd]:CheckAndFixConfigs():nnet-am-decodable-simple.cc:300) Increasing --frames-per-chunk from 150 to 162 due to --frame-subsampling-factor=1 and nnet shift-invariance modulus = 18
LOG ([5.5.201~1-7d4bd]:CheckAndFixConfigs():nnet-am-decodable-simple.cc:300) Increasing --frames-per-chunk from 150 to 162 due to --frame-subsampling-factor=1 and nnet shift-invariance modulus = 18
LOG ([5.5.201~1-7d4bd]:CheckAndFixConfigs():nnet-am-decodable-simple.cc:300) Increasing --frames-per-chunk from 150 to 162 due to --frame-subsampling-factor=1 and nnet shift-invariance modulus = 18
LOG ([5.5.201~1-7d4bd]:CheckAndFixConfigs():nnet-am-decodable-simple.cc:300) Increasing --frames-per-chunk from 150 to 162 due to --frame-subsampling-factor=1 and nnet shift-invariance modulus = 18
extract-segments scp:/archive/out/temp/example.0-2-0000746-0000832/wav.scp /archive/out/temp/example.0-2-0000746-0000832/segments scp:/archive/out/temp/example.0-2-0000746-0000832/wav_segments.scp
LOG (extract-segments[5.5.201~1-7d4bd]:main():extract-segments.cc:193) Successfully processed 1 lines out of 1 in the segments file.
extract-segments scp:/archive/out/temp/example.1-2-0000700-0000886/wav.scp /archive/out/temp/example.1-2-0000700-0000886/segments scp:/archive/out/temp/example.1-2-0000700-0000886/wav_segments.scp
LOG (extract-segments[5.5.201~1-7d4bd]:main():extract-segments.cc:193) Successfully processed 1 lines out of 1 in the segments file.
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
LOG ([5.5.201~1-7d4bd]:~CachingOptimizingCompiler():nnet-optimize.cc:710) 0.0127 seconds taken in nnet3 compilation total (breakdown: 0.0106 compilation, 0.00124 optimization, 0 shortcut expansion, 0.000241 checking, 1.91e-06 computing indexes, 0.000628 misc.) + 0 I/O.
extract-segments scp:/archive/out/temp/example.1-2-0000940-0001262/wav.scp /archive/out/temp/example.1-2-0000940-0001262/segments scp:/archive/out/temp/example.1-2-0000940-0001262/wav_segments.scp
LOG (extract-segments[5.5.201~1-7d4bd]:main():extract-segments.cc:193) Successfully processed 1 lines out of 1 in the segments file.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 1 orphan nodes.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 2 orphan components.
LOG ([5.5.201~1-7d4bd]:Collapse():nnet-utils.cc:1378) Added 1 components, removed 2
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
LOG ([5.5.201~1-7d4bd]:~CachingOptimizingCompiler():nnet-optimize.cc:710) 0.0287 seconds taken in nnet3 compilation total (breakdown: 0.0244 compilation, 0.00224 optimization, 0 shortcut expansion, 0.00049 checking, 5.96e-06 computing indexes, 0.00157 misc.) + 0 I/O.
compute-mfcc-feats --verbose=0 --config=model/conf/mfcc_hires.conf scp:/archive/out/temp/example.0-2-0001277-0001377/wav.scp ark:-
LOG (compute-mfcc-feats[5.5.201~1-7d4bd]:main():compute-mfcc-feats.cc:176) Done 1 out of 1 utterances.
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
LOG ([5.5.201~1-7d4bd]:~CachingOptimizingCompiler():nnet-optimize.cc:710) 0.0384 seconds taken in nnet3 compilation total (breakdown: 0.0331 compilation, 0.00233 optimization, 0 shortcut expansion, 0.00052 checking, 7.87e-06 computing indexes, 0.00243 misc.) + 0 I/O.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 1 orphan nodes.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 2 orphan components.
LOG ([5.5.201~1-7d4bd]:Collapse():nnet-utils.cc:1378) Added 1 components, removed 2
compute-mfcc-feats --verbose=0 --config=model/conf/mfcc_hires.conf scp:/archive/out/temp/example/wav.scp ark:-
extract-segments scp:/archive/out/temp/example.1-2-0000078-0000700/wav.scp /archive/out/temp/example.1-2-0000078-0000700/segments scp:/archive/out/temp/example.1-2-0000078-0000700/wav_segments.scp
LOG (extract-segments[5.5.201~1-7d4bd]:main():extract-segments.cc:193) Successfully processed 1 lines out of 1 in the segments file.
LOG (compute-mfcc-feats[5.5.201~1-7d4bd]:main():compute-mfcc-feats.cc:176) Done 2 out of 2 utterances.
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
LOG ([5.5.201~1-7d4bd]:~CachingOptimizingCompiler():nnet-optimize.cc:710) 0.0582 seconds taken in nnet3 compilation total (breakdown: 0.0503 compilation, 0.00345 optimization, 0 shortcut expansion, 0.000793 checking, 1.91e-05 computing indexes, 0.00355 misc.) + 0 I/O.
17%|█████████████████████████▋ | 1/6 [00:00<00:02, 1.70it/s]extract-segments scp:/archive/out/temp/example.0-2-0001277-0001377/wav.scp /archive/out/temp/example.0-2-0001277-0001377/segments scp:/archive/out/temp/example.0-2-0001277-0001377/wav_segments.scp
LOG (extract-segments[5.5.201~1-7d4bd]:main():extract-segments.cc:193) Successfully processed 1 lines out of 1 in the segments file.
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
LOG ([5.5.201~1-7d4bd]:~CachingOptimizingCompiler():nnet-optimize.cc:710) 0.0125 seconds taken in nnet3 compilation total (breakdown: 0.0104 compilation, 0.00124 optimization, 0 shortcut expansion, 0.000234 checking, 1.91e-06 computing indexes, 0.000654 misc.) + 0 I/O.
83%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 5/6 [00:00<00:00, 9.16it/s]extract-segments scp:/archive/out/temp/example/wav.scp /archive/out/temp/example/segments scp:/archive/out/temp/example/wav_segments.scp
LOG (extract-segments[5.5.201~1-7d4bd]:main():extract-segments.cc:193) Successfully processed 5 lines out of 5 in the segments file.
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
LOG ([5.5.201~1-7d4bd]:~CachingOptimizingCompiler():nnet-optimize.cc:710) 0.0447 seconds taken in nnet3 compilation total (breakdown: 0.0388 compilation, 0.00307 optimization, 0 shortcut expansion, 0.000687 checking, 1.36e-05 computing indexes, 0.00209 misc.) + 0 I/O.
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:01<00:00, 3.83it/s]
root@ad722f0a8bcf:/speech_recognition#
Стоит его убрать либо переписать способ установки потому что люди путаются, пытаются ставить библиотеку которой не существует. Точнее библиотека то существует, только поставить через pip не получится, только через Conda.
pip install не находит pykaldi, этого проекта нет на pypi.org.
Подойдет ли вместо него py-kaldi-asr?
Выходит такая ошибка. сегодня получил последний комит, модель обновил как в инструкции запустил. Помогите пожалуйста
Качество распознавания 1 слово из 100
В моем аудио более 100 слов, которые на слух хорошо читаются, но из всех этих слов распознано корректно только одно
Это решение вообще должно работать из коробки? Или его надо как то дообучать?
При старте распознавания ошибка wave.Error: unknown format: 65534
Есть какие то требования к файлам на входе?
mediainfo
General
Complete name : file.wav
Format : Wave
File size : 106 MiB
Duration : 42 min 7 s
Overall bit rate mode : Constant
Overall bit rate : 353 kb/s
Audio
Format : PCM
Format settings : Little / Signed
Codec ID : 00000001-0000-0010-8000-00AA00389B71
Duration : 42 min 7 s
Bit rate mode : Constant
Bit rate : 352.8 kb/s
Channel(s) : 1 channel
Channel layout : C
Sampling rate : 22.05 kHz
Bit depth : 16 bits
Stream size : 106 MiB (100%)
Здравствуйте.
Запускаю в Докере тестовые файлы из папки examples, и вижу такое на выходе:
Audio File,Start,End,Name,Text
example.0-2-0000746-0000832.wav,0,840,Канал 0,404663
example.0-2-0001277-0001377.wav,0,980,Канал 0,258808
example.1-2-0000700-0000886.wav,0,1840,Канал 0,366176 351494 298835
example.1-2-0000078-0000700.wav,0,6200,Канал 0,260351 29888 44659 131574 295340 339479 101480 63562 126969 494845 58642 550039 299027 378202 249174 468918 398782 249174 506410 348764
example.1-2-0000940-0001262.wav,0,3200,Канал 0,568039 42533 441418 317829 320309 399750 67757 116667 389194 433486 336159
В то время как у вас в примерах следующие результаты:
example.0-2-0000746-0000832 пять
example.0-2-0001277-0001377 бом
example.1-2-0000078-0000700 наталья благодарю вас за ожиданьем по данному вопросу есть то во что она приведу на специалиста профиль на у подразделением
example.1-2-0000700-0000886 постарайтесь пожалуйста омовением
example.1-2-0000940-0001262 я в свою очередь с вами прощайте всего дом проводов с питанием
Видно, что количество чисел в моем выходном файле такое же, как и в корректном примере из папки examples.
Подскажите, в чем может быть проблема?
Здравствуйте, подскажите что за аргумент папка [DIR] используеться в -o device=[DIR]
она взята из комманды
docker volume create -d local -o o=bind -o device=[DIR] asr_volume
нужно добавить знак равно: $ PATH=/kaldi/src/featbin:/kaldi/src/ivectorbin:/kaldi/src/online2bin:/kaldi/src/rnnlmbin:/kaldi/src/fstbin:$PATH (могу ошибаться так как не дикий линуксоид но как я увидел на Ubuntu и Debian команда PATH прописывается именно со знаком равно)
Здравствуйте.
Я собрал и запустил образ докера, согласно инструкции.
Зупстил распознавание, но это не дало ожидаемого результата.
Тогда я решил воспользоваться ноутбуком Recognition.ipynb.
Но в 5 блоке, при выполнении команды NnetLatticeFasterRecognizer.from_files(model, graph, words, decoder_opts=decoder_opts, decodable_opts=decodable_opts), я получаю ошибку Error reading FST header. Подскажите, что я делаю не так. Буду очень благодарен за ответ
StackTrace:
OSError Traceback (most recent call last)
in
1 asr = NnetLatticeFasterRecognizer.from_files(model, graph, words,
2 decoder_opts=decoder_opts,
----> 3 decodable_opts=decodable_opts)
/usr/local/lib/python3.5/dist-packages/pykaldi-0.1.2-py3.5-linux-x86_64.egg/kaldi/asr.py in from_files(cls, model_rxfilename, graph_rxfilename, symbols_filename, allow_partial, decoder_opts, decodable_opts, online_ivector_period)
1053 """
1054 transition_model, acoustic_model = cls.read_model(model_rxfilename)
-> 1055 graph = _fst.read_fst_kaldi(graph_rxfilename)
1056 if not decoder_opts:
1057 decoder_opts = _dec.LatticeFasterDecoderOptions()
/usr/local/lib/python3.5/dist-packages/pykaldi-0.1.2-py3.5-linux-x86_64.egg/kaldi/fstext/_api.py in read_fst_kaldi(rxfilename)
3367 hdr = _fst.FstHeader()
3368 if not hdr.read(ki.stream(), rxfilename):
-> 3369 raise IOError("Error reading FST header.")
3370 fst_type = hdr.fst_type()
3371 if fst_type not in ["vector", "const"]:
OSError: Error reading FST header.
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
из-за этой ошибки не происходит распознавание, уже пробовал заменять файл на тот что на гите, не помогло
буду очень благодарен, если подскажите как решить данную проблему
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
Приветствую!
Скармливаю вроды бы обычный wav-файл, записанный в Sound Recorder в Ubuntu. Правда, довольно короткий, не знаю, влияет ли это. Вижу на выходе в логе следующее и — отстутсвие распознанных объектов соответственно.
2023-05-06 16:04:18 INFO Запуск распознавания речи
2023-05-06 16:04:18 DEBUG Количество процессов: 8
2023-05-06 16:04:18 INFO Запуск сегментации файла '2023-05-06-18:56:52.wav'
2023-05-06 16:04:20 INFO Завершение сегментации файла '2023-05-06-18:56:52.wav'
2023-05-06 16:04:20 ERROR В файле '2023-05-06-18:56:52.wav' отсутствуют сегменты
2023-05-06 16:04:20 INFO Завершение распознавания речи
В stdout при запуске ./start_recognition.py ... — вижу следующее:
LOG ([5.5.201~1-7d4bd]:RemoveOrphanNodes():nnet-nnet.cc:948) Removed 1 orphan nodes.
LOG ([5.5.201~1-7d4bd]:RemoveOrphanComponents():nnet-nnet.cc:847) Removing 2 orphan components.
LOG ([5.5.201~1-7d4bd]:Collapse():nnet-utils.cc:1378) Added 1 components, removed 2
compute-mfcc-feats --verbose=0 --config=model/conf/mfcc_hires.conf scp:/archive/output/temp/test/wav.scp ark:-
sox WARN wav: Premature EOF on .wav input file
WARNING (compute-mfcc-feats[5.5.201~1-7d4bd]:Read():wave-reader.cc:304) Expected 2147418112 bytes of wave data, but read only 469040 bytes. Truncated file?
LOG (compute-mfcc-feats[5.5.201~1-7d4bd]:main():compute-mfcc-feats.cc:176) Done 1 out of 1 utterances.
LOG ([5.5.201~1-7d4bd]:CheckAndFixConfigs():nnet-am-decodable-simple.cc:300) Increasing --frames-per-chunk from 150 to 162 due to --frame-subsampling-factor=1 and nnet shift-invariance modulus = 18
extract-segments scp:/archive/output/temp/test/wav.scp /archive/output/temp/test/segments scp:/archive/output/temp/test/wav_segments.scp
sox WARN wav: Premature EOF on .wav input file
WARNING (extract-segments[5.5.201~1-7d4bd]:Read():wave-reader.cc:304) Expected 2147418112 bytes of wave data, but read only 469040 bytes. Truncated file?
LOG (extract-segments[5.5.201~1-7d4bd]:main():extract-segments.cc:193) Successfully processed 4 lines out of 4 in the segments file.
ERROR: FstHeader::Read: Bad FST header: model/HCLG.fst
LOG ([5.5.201~1-7d4bd]:~CachingOptimizingCompiler():nnet-optimize.cc:710) 0.0416 seconds taken in nnet3 compilation total (breakdown: 0.0361 compilation, 0.00282 optimization, 0 shortcut expansion, 0.000625 checking, 1.38e-05 computing indexes, 0.00203 misc.) + 0 I/O.
Добрый вечер, можете подсказать, что за варнинги вылезают? Почитал, что шумов в аудио-файле много или сегменты слишком большие и в озу не влезают(Тогда как изменить их продолжительность?), но можете подтвердить/объяснить, пожалуйста?
WARNING ([5.5.201~1-7d4bd]:CheckMemoryUsage():determinize-lattice-pruned.cc:316) Did not reach requested beam in determinize-lattice: size exceeds maximum 50000000 bytes; (repo,arcs,elems) = (29266944,1736608,19010304), after rebuilding, repo size was 19735424, effective beam was 8.79818 vs. requested beam 10
WARNING:root:Lattice determinization is terminated early because at least one of max_mem, max_loop or max_arcs thresholds was reached. If you want a more detailed log message, rerun this function after setting verbose level > 0 using kaldi.base.set_verbose_level.
Заранее извиняюсь за неосведомленность
Запустил app.py, зашел через браузер на 0.0.0.0:5000. Страница работает, файл выбирается. После нажатия на кнопку "загрузить" линукс браузер немного думает, потом выдает страницу: Internal Server error: The server encountered an internal error and was unable to complete your request. При этом в консоли линукса такой вывод (последние строчки): FileNotFoundError: [Errno 2] File data/new_house_1600/new_house_1600 does not exist Никаких служебных сообщений на странице, типа "Идет распознавание" нет, он просто открывает эту страницу с ошибкой. Как заставить заработать сервер?
Приветствую! Не могли бы вы помочь? Я только начал работу с kaldi и попытался сделать голосовое управление роботом ардуино используя ваш проект, но мне непонятен алгоритм распознавания речи. На сайте калди я нашел математическую часть алгоритма, но не алгоритм в общем виде( имеется ввиду что-то вроде блок схемы какой пункт за каким выполняется). Может вы знаете где найти что-то подобное или на пальцах сможете написать шаги алгоритма? Заранее спасибо
Сергей, приветствую!
Не приходилось ли использовать русскую модель отличную от версии 0.6 ? Я пробовал подменить файлы модели от 0.10 (https://alphacephei.com/vosk/models/vosk-model-ru-0.10.zip) и даже от 0.7 (https://alphacephei.com/kaldi/kaldi-ru-0.7.tar.gz ), но как-то безрезультатно. При замене файлов моделью версии 0.7 выдает
Expected token </GeneralDropoutComponent>", got instead "<SpecAugmentMaxProportion>
Возможно это связано с устаревшей версией Kaldi использованной в образе? Не приходилось ли сталкиваться, есть какие-то идеи ?
Заранее благодарю за ответ!
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