rafaelgalle/whisper-diarization-advanced 📝🖼️✓🔢 → ❓

▶️ 108.0K runs 📅 Aug 2025 ⚙️ Cog 0.16.8 🔗 GitHub 📄 Paper ⚖️ License

About

Ultra-fast, customizable speech-to-text and speaker diarization for noisy, multi-speaker audio. Includes advanced noise reduction, stereo channel support, and flexible audio preprocessing—ideal for call centers, meetings, and podcasts.

Example Output

Prompt:

"Radio interview with Dwight Schrute about Dunder Mifflin"

Output

{"language":"en","segments":[{"end":9.54,"text":"And welcome back to Biz Whiz. I'm Iris Black. 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me.","start":11.56,"speaker":"SPEAKER_01","probability":1}],"speaker":"SPEAKER_01","duration":2.08,"avg_logprob":-0.1358695607902347},{"end":16.02,"text":"Iris, let me tell you, David Wallace is the CEO, but he's not hands-on.","start":11.94,"words":[{"end":12.36,"word":" Iris,","start":11.94,"speaker":"SPEAKER_01","probability":0.998046875},{"end":12.8,"word":" let","start":12.68,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":12.9,"word":" me","start":12.8,"speaker":"SPEAKER_01","probability":1},{"end":13.1,"word":" tell","start":12.9,"speaker":"SPEAKER_01","probability":1},{"end":13.34,"word":" you,","start":13.1,"speaker":"SPEAKER_01","probability":1},{"end":13.82,"word":" David","start":13.58,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":14.12,"word":" Wallace","start":13.82,"speaker":"SPEAKER_01","probability":0.9951171875},{"end":14.44,"word":" is","start":14.12,"speaker":"SPEAKER_01","probability":0.9990234375},{"end":14.62,"word":" 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describe it, Iris.","start":20.28,"words":[{"end":20.76,"word":" Entirely","start":20.28,"speaker":"SPEAKER_01","probability":0.9991861979166666},{"end":21.12,"word":" is","start":20.76,"speaker":"SPEAKER_01","probability":0.9990234375},{"end":21.36,"word":" the","start":21.12,"speaker":"SPEAKER_01","probability":1},{"end":21.92,"word":" perfect","start":21.36,"speaker":"SPEAKER_01","probability":1},{"end":22.24,"word":" way","start":21.92,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":22.44,"word":" to","start":22.24,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":22.84,"word":" describe","start":22.44,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":23,"word":" it,","start":22.84,"speaker":"SPEAKER_01","probability":1},{"end":23.24,"word":" Iris.","start":23.06,"speaker":"SPEAKER_01","probability":1}],"speaker":"SPEAKER_01","duration":2.9599999999999973,"avg_logprob":-0.1358695607902347},{"end":31.74,"text":"Excuse me, I'm being told by my sound 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We are going to have to ask you to remove the shirt altogether.","start":33.56,"words":[{"end":33.92,"word":" I'm","start":33.56,"speaker":"SPEAKER_03","probability":0.86962890625},{"end":34.18,"word":" so","start":33.92,"speaker":"SPEAKER_03","probability":0.98779296875},{"end":34.54,"word":" sorry.","start":34.18,"speaker":"SPEAKER_03","probability":0.99853515625},{"end":34.78,"word":" We","start":34.72,"speaker":"SPEAKER_03","probability":0.99609375},{"end":34.92,"word":" are","start":34.78,"speaker":"SPEAKER_03","probability":0.94921875},{"end":35.08,"word":" going","start":34.92,"speaker":"SPEAKER_03","probability":0.99609375},{"end":35.22,"word":" to","start":35.08,"speaker":"SPEAKER_03","probability":0.99853515625},{"end":35.34,"word":" have","start":35.22,"speaker":"SPEAKER_03","probability":0.9833984375},{"end":35.46,"word":" to","start":35.34,"speaker":"SPEAKER_03","probability":0.99658203125},{"end":35.68,"word":" ask","start":35.46,"speaker":"SPEAKER_03","probability":0.99853515625},{"end":35.84,"word":" you","start":35.68,"speaker":"SPEAKER_03","probability":0.9990234375},{"end":36.02,"word":" to","start":35.84,"speaker":"SPEAKER_03","probability":0.99560546875},{"end":36.3,"word":" remove","start":36.02,"speaker":"SPEAKER_03","probability":0.9990234375},{"end":36.5,"word":" the","start":36.3,"speaker":"SPEAKER_03","probability":0.94189453125},{"end":36.74,"word":" shirt","start":36.5,"speaker":"SPEAKER_03","probability":0.99853515625},{"end":37.1,"word":" altogether.","start":36.74,"speaker":"SPEAKER_03","probability":0.9306640625}],"speaker":"SPEAKER_03","duration":3.539999999999999,"avg_logprob":-0.1590307228646036},{"end":47.4,"text":"Now then, we were saying, when my workers gather...","start":44.14,"words":[{"end":44.28,"word":" Now","start":44.14,"speaker":"SPEAKER_01","probability":0.98828125},{"end":44.46,"word":" then,","start":44.28,"speaker":"SPEAKER_01","probability":0.88525390625},{"end":45.44,"word":" we","start":44.88,"speaker":"SPEAKER_01","probability":0.9931640625},{"end":45.58,"word":" were","start":45.44,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":45.9,"word":" saying,","start":45.58,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":46.4,"word":" when","start":46.04,"speaker":"SPEAKER_01","probability":0.99072265625},{"end":46.62,"word":" my","start":46.4,"speaker":"SPEAKER_01","probability":0.99951171875},{"end":47.12,"word":" workers","start":46.62,"speaker":"SPEAKER_01","probability":0.998046875},{"end":47.4,"word":" gather...","start":47.12,"speaker":"SPEAKER_01","probability":0.712158203125}],"speaker":"SPEAKER_01","duration":3.259999999999998,"avg_logprob":-0.1590307228646036},{"end":48.46,"text":"Oh, I'm so sorry.","start":48.1,"words":[{"end":48.1,"word":" Oh,","start":48.1,"speaker":"SPEAKER_03","probability":0.64501953125},{"end":48.1,"word":" I'm","start":48.1,"speaker":"SPEAKER_03","probability":0.99755859375},{"end":48.1,"word":" so","start":48.1,"speaker":"SPEAKER_03","probability":0.998046875},{"end":48.46,"word":" sorry.","start":48.1,"speaker":"SPEAKER_03","probability":0.99951171875}],"speaker":"SPEAKER_03","duration":0.35999999999999943,"avg_logprob":-0.1590307228646036},{"end":53.72,"text":"I am told we are still having problems, Mr. Schrute. Your voice, it's sounding a little feminine.","start":48.62,"words":[{"end":48.76,"word":" I","start":48.62,"speaker":"SPEAKER_03","probability":0.99365234375},{"end":48.94,"word":" am","start":48.76,"speaker":"SPEAKER_03","probability":0.966796875},{"end":49.4,"word":" told","start":48.94,"speaker":"SPEAKER_03","probability":0.99951171875},{"end":49.68,"word":" we","start":49.4,"speaker":"SPEAKER_03","probability":0.9990234375},{"end":49.84,"word":" are","start":49.68,"speaker":"SPEAKER_03","probability":0.99951171875},{"end":50.04,"word":" still","start":49.84,"speaker":"SPEAKER_03","probability":1},{"end":50.32,"word":" having","start":50.04,"speaker":"SPEAKER_03","probability":0.99951171875},{"end":50.82,"word":" problems,","start":50.32,"speaker":"SPEAKER_03","probability":0.99951171875},{"end":51.2,"word":" Mr.","start":50.94,"speaker":"SPEAKER_03","probability":0.99853515625},{"end":51.56,"word":" 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Woo","start":236.65,"speaker":"SPEAKER_01","probability":0.00047397613525390625},{"end":236.67,"word":"-hoo!","start":236.65,"speaker":"SPEAKER_01","probability":0.50811767578125}],"speaker":"SPEAKER_01","duration":0.01999999999998181,"avg_logprob":-3.045823403767177},{"end":236.69,"text":"Quick.","start":236.67,"words":[{"end":236.69,"word":" Quick.","start":236.67,"speaker":"SPEAKER_01","probability":0.00018131732940673828}],"speaker":"SPEAKER_01","duration":0.020000000000010232,"avg_logprob":-3.045823403767177},{"end":236.71,"text":"Good for Pu wat","start":236.69,"words":[{"end":236.69,"word":" Good","start":236.69,"speaker":"SPEAKER_01","probability":0.09368896484375},{"end":236.71,"word":" for","start":236.69,"speaker":"SPEAKER_01","probability":0.59814453125},{"end":236.71,"word":" Pu","start":236.71,"speaker":"SPEAKER_01","probability":0.000004470348358154297},{"end":236.71,"word":" wat","start":236.71,"speaker":"SPEAKER_01","probability":0.000010848045349121094}],"speaker":"SPEAKER_01","duration":0.020000000000010232,"avg_logprob":-3.045823403767177}],"num_speakers":4}

Performance Metrics

10.63s Prediction Time

70.45s Total Time

All Input Parameters

{
  "prompt": "Radio interview with Dwight Schrute about Dunder Mifflin",
  "language": "en",
  "file_path": "https://replicate.delivery/pbxt/NflyrHBi0swcIHX6ILQ55RVTrZo30ms2xgNH6qInsnCzvbzw/radio_prank.mp4",
  "translate": false,
  "preprocess": 0,
  "stationary": true,
  "target_dBFS": -18,
  "lowpass_freq": 8000,
  "highpass_freq": 45,
  "prop_decrease": 0.3
}

Input Parameters

prompt Type: string: Names/acronyms, separated by punctuation
file_url Type: string: Direct URL
language Type: string: Language code like 'en', 'pt'
file_path Type: string: Audio file
translate Type: booleanDefault: false: Translate to English
preprocess Type: integerDefault: 0Range: 0 - 4: 0=None, 1=Sanitize, 2=+Filter, 3=+ReduceNoise, 4=+Normalize
stationary Type: booleanDefault: true
file_string Type: string: Base64 audio
target_dBFS Type: numberDefault: -18
lowpass_freq Type: integerDefault: 8000
num_speakers Type: integerRange: 1 - 50: Leave empty to autodetect
highpass_freq Type: integerDefault: 45
prop_decrease Type: numberDefault: 0.3

Output Schema

metrics Type: object: Metrics
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, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/tmpkls0ixk7/input_raw':
Metadata:
major_brand     : isom
minor_version   : 512
compatible_brands: isomiso2avc1mp41
encoder         : Lavf58.29.100
Duration: 00:04:00.02, start: 0.000000, bitrate: 246 kb/s
Stream #0:0(und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709), 640x360 [SAR 1:1 DAR 16:9], 175 kb/s, 23.98 fps, 23.98 tbr, 24k tbn, 47.95 tbc (default)
Metadata:
handler_name    : ISO Media file produced by Google Inc. Created on: 03/05/2024.
vendor_id       : [0][0][0][0]
Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 69 kb/s (default)
Metadata:
handler_name    : ISO Media file produced by Google Inc. Created on: 03/05/2024.
vendor_id       : [0][0][0][0]
Stream mapping:
Stream #0:1 -> #0:0 (aac (native) -> pcm_s16le (native))
Press [q] to stop, [?] for help
Output #0, wav, to '/tmp/tmpkls0ixk7/input_pcm16.wav':
Metadata:
major_brand     : isom
minor_version   : 512
compatible_brands: isomiso2avc1mp41
ISFT            : Lavf58.76.100
Stream #0:0(eng): Audio: pcm_s16le ([1][0][0][0] / 0x0001), 16000 Hz, mono, s16, 256 kb/s (default)
Metadata:
handler_name    : ISO Media file produced by Google Inc. Created on: 03/05/2024.
vendor_id       : [0][0][0][0]
encoder         : Lavc58.134.100 pcm_s16le
size=       1kB time=00:00:00.00 bitrate=N/A speed=   0x
size=    7500kB time=00:04:00.00 bitrate= 256.0kbits/s speed=1.65e+03x
video:0kB audio:7500kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.001016%
DEBUG --> Audio with 1 channels
DEBUG --> Starting transcribing mono
DEBUG --> Finished transcribing, 79 segments
DEBUG --> Starting diarization
/root/.pyenv/versions/3.10.18/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/3.10.18/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)
DEBUG --> Finished diarization, 4 speakers detected
DEBUG --> Starting merging segments with speaker info
DEBUG --> Segments merged and cleaned

Version Details

Version ID: f2b09b7c1e0c7be451da647ee7a7579444256bb1e1b7ffbf8f96fef6780587d3
Version Created: October 19, 2025

Run on Replicate →