thomasmol/whisper-diarization 🖼️📝✓🔢 → ❓

▶️ 3.2M runs 📅 Mar 2023 ⚙️ Cog 0.13.7 🔗 GitHub 📄 Paper ⚖️ License
speaker-diarization speech-to-text

About

⚡️ Blazing fast audio transcription with speaker diarization | Whisper Large V3 Turbo | word & sentence level timestamps | prompt

Example Output

Prompt:

"LLama, AI, Meta."

Output

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is a big part of that.","start":15.2,"words":[{"end":15.68,"word":" So","start":15.2,"speaker":"SPEAKER_01","probability":0.9873046875},{"end":16.08,"word":" Meta","start":15.68,"speaker":"SPEAKER_01","probability":0.681884765625},{"end":16.3,"word":" is","start":16.08,"speaker":"SPEAKER_01","probability":0.99853515625},{"end":16.38,"word":" a","start":16.3,"speaker":"SPEAKER_01","probability":0.9990234375},{"end":16.52,"word":" big","start":16.38,"speaker":"SPEAKER_01","probability":0.99853515625},{"end":16.76,"word":" part","start":16.52,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":16.86,"word":" of","start":16.76,"speaker":"SPEAKER_01","probability":0.9990234375},{"end":17.06,"word":" that.","start":16.86,"speaker":"SPEAKER_01","probability":0.99951171875}],"speaker":"SPEAKER_01","duration":1.8599999999999994,"avg_logprob":-0.17278645634651185},{"end":21.94,"text":"Meta has developed LLAMA, which is a 65 billion parameter 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experiences","start":1482.92,"speaker":"SPEAKER_00","probability":0.99560546875},{"end":1484.42,"word":" for","start":1484.12,"speaker":"SPEAKER_00","probability":1},{"end":1484.7,"word":" people","start":1484.42,"speaker":"SPEAKER_00","probability":1},{"end":1484.92,"word":" and","start":1484.7,"speaker":"SPEAKER_00","probability":0.99853515625},{"end":1485.08,"word":" just","start":1484.92,"speaker":"SPEAKER_00","probability":0.9892578125},{"end":1485.46,"word":" unlock","start":1485.08,"speaker":"SPEAKER_00","probability":1},{"end":1485.62,"word":" a","start":1485.46,"speaker":"SPEAKER_00","probability":1},{"end":1485.78,"word":" ton","start":1485.62,"speaker":"SPEAKER_00","probability":1},{"end":1486.04,"word":" of","start":1485.78,"speaker":"SPEAKER_00","probability":1},{"end":1486.5,"word":" innovation","start":1486.04,"speaker":"SPEAKER_00","probability":1},{"end":1486.7,"word":" and","start":1486.5,"speaker":"SPEAKER_00","probability":0.99951171875},{"end":1486.96,"word":" value.","start":1486.7,"speaker":"SPEAKER_00","probability":1}],"speaker":"SPEAKER_00","duration":4.900000000000091,"avg_logprob":-0.17304321984264337}],"num_speakers":2}

Performance Metrics

54.82s Prediction Time
285.32s Total Time
All Input Parameters
{
  "file": "https://replicate.delivery/pbxt/JcL0ttZLlbchC0tL9ZtB20phzeXCSuMm0EJNdLYElgILoZci/AI%20should%20be%20open-sourced.mp3",
  "prompt": "LLama, AI, Meta.",
  "file_url": "",
  "language": "en",
  "translate": false,
  "num_speakers": 2
}
Input Parameters
file Type: string
Or an audio file
prompt Type: string
Vocabulary: provide names, acronyms and loanwords in a list. Use punctuation for best accuracy.
file_url Type: string
Or provide: A direct audio file URL
language Type: string
Language of the spoken words as a language code like 'en'. Leave empty to auto detect language.
translate Type: booleanDefault: false
Translate the speech into English.
file_string Type: string
Either provide: Base64 encoded audio file,
num_speakers Type: integerRange: 1 - 50
Number of speakers, leave empty to autodetect.
group_segments Type: booleanDefault: true
Group segments of same speaker shorter apart than 2 seconds
Output Schema
language Type: string
Language
segments Type: array
Segments
num_speakers Type: integer
Num Speakers
Example Execution Logs
ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers
built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)
configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
libavutil      56. 70.100 / 56. 70.100
libavcodec     58.134.100 / 58.134.100
libavformat    58. 76.100 / 58. 76.100
libavdevice    58. 13.100 / 58. 13.100
libavfilter     7.110.100 /  7.110.100
libswscale      5.  9.100 /  5.  9.100
libswresample   3.  9.100 /  3.  9.100
libpostproc    55.  9.100 / 55.  9.100
Input #0, mp3, from '/tmp/tmpo0jjsj8pAI should be open-sourced.mp3':
Metadata:
major_brand     : mp42
minor_version   : 0
compatible_brands: isommp42
encoder         : Lavf58.29.100
Duration: 00:25:07.40, start: 0.025057, bitrate: 192 kb/s
Stream #0:0: Audio: mp3, 44100 Hz, stereo, fltp, 192 kb/s
Metadata:
encoder         : Lavc58.54
Stream mapping:
Stream #0:0 -> #0:0 (mp3 (mp3float) -> pcm_s16le (native))
Press [q] to stop, [?] for help
Output #0, wav, to 'temp-1739953448366605077.wav':
Metadata:
major_brand     : mp42
minor_version   : 0
compatible_brands: isommp42
ISFT            : Lavf58.76.100
Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 16000 Hz, mono, s16, 256 kb/s
Metadata:
encoder         : Lavc58.134.100 pcm_s16le
size=       0kB time=00:00:00.00 bitrate=N/A speed=N/A
size=   14592kB time=00:07:50.46 bitrate= 254.1kbits/s speed= 941x
size=   29440kB time=00:15:45.92 bitrate= 255.0kbits/s speed= 946x
size=   44288kB time=00:23:38.55 bitrate= 255.8kbits/s speed= 946x
size=   47105kB time=00:25:07.34 bitrate= 256.0kbits/s speed= 948x
video:0kB audio:47105kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.000162%
Starting transcribing
INFO:faster_whisper:Processing audio with duration 25:07.347
INFO:faster_whisper:VAD filter removed 00:39.595 of audio
Finished with transcribing, took 33.077 seconds, 1319 segments
Starting diarization
/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/pyannote/audio/utils/reproducibility.py:74: ReproducibilityWarning: TensorFloat-32 (TF32) has been disabled as it might lead to reproducibility issues and lower accuracy.
It can be re-enabled by calling
>>> import torch
>>> torch.backends.cuda.matmul.allow_tf32 = True
>>> torch.backends.cudnn.allow_tf32 = True
See https://github.com/pyannote/pyannote-audio/issues/1370 for more details.
warnings.warn(
/root/.pyenv/versions/3.10.15/lib/python3.10/site-packages/pyannote/audio/models/blocks/pooling.py:104: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1807.)
std = sequences.std(dim=-1, correction=1)
Finished with diarization, took 15.504 seconds
Starting merging
Finished with merging, took 3.8632 seconds
done with inference
Version Details
Version ID
1495a9cddc83b2203b0d8d3516e38b80fd1572ebc4bc5700ac1da56a9b3ed886
Version Created
February 19, 2025
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