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Open-weight model · Speech recognition

voice-activity-detection

by Pyannote pyannote/voice-activity-detection

Using this open-source model in production? Consider switching to pyannoteAI for better and faster options.

Parameters—
Context—
Weights4.0 KB
Licensemit
AccessAccess requested at publisher
Monthly Downloads1.4M

Model Card

By Pyannote, published under mit, revision 8d678d7647d9.

Using this open-source model in production? Consider switching to pyannoteAI for better and faster options.

Read Pyannote's full model card

Using this open-source model in production?
Consider switching to pyannoteAI for better and faster options.

Voice activity detection

Relies on pyannote.audio 2.1: see installation instructions.

# 1. visit hf.co/pyannote/segmentation and accept user conditions
# 2. visit hf.co/settings/tokens to create an access token
# 3. instantiate pretrained voice activity detection pipeline

from pyannote.audio import Pipeline
pipeline = Pipeline.from_pretrained("pyannote/voice-activity-detection",
                                    use_auth_token="ACCESS_TOKEN_GOES_HERE")
output = pipeline("audio.wav")

for speech in output.get_timeline().support():
    # active speech between speech.start and speech.end
    ...

Citation

@inproceedings{Bredin2021,
  Title = {{End-to-end speaker segmentation for overlap-aware resegmentation}},
  Author = {{Bredin}, Herv{\'e} and {Laurent}, Antoine},
  Booktitle = {Proc. Interspeech 2021},
  Address = {Brno, Czech Republic},
  Month = {August},
  Year = {2021},
}

@inproceedings{Bredin2020,
  Title = {{pyannote.audio: neural building blocks for speaker diarization}},
  Author = {{Bredin}, Herv{\'e} and {Yin}, Ruiqing and {Coria}, Juan Manuel and {Gelly}, Gregory and {Korshunov}, Pavel and {Lavechin}, Marvin and {Fustes}, Diego and {Titeux}, Hadrien and {Bouaziz}, Wassim and {Gill}, Marie-Philippe},
  Booktitle = {ICASSP 2020, IEEE International Conference on Acoustics, Speech, and Signal Processing},
  Address = {Barcelona, Spain},
  Month = {May},
  Year = {2020},
}

Identity and Version

Repository
pyannote/voice-activity-detection
Publisher
Pyannote
Task
Speech recognition
Modality
Audio
Library
pyannote-audio
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
8d678d7647d9c991934b2270b21fe390f9a8fea5
First published
2022-03-02
Last updated
2024-05-10

Files and Weights

3 files, 4.0 KB in total.

Configuration1 file · 277 B
Documentation1 file · 2.5 KB
Repository1 file · 1.2 KB
Every file
FileTypeSizeSHA-256
config.yamlConfiguration277 B —
README.mdDocumentation2.5 KB —
.gitattributesRepository1.2 KB —

License and Download

License
mit
Access
Access requested at publisher
Request access from Pyannote

Pyannote grants access through its official repository on Hugging Face. Read the license.

Built From

  • Trained on (disclosed) ami
  • Trained on (disclosed) dihard
  • Trained on (disclosed) voxconverse

Questions About voice-activity-detection

Can I use voice-activity-detection commercially?

Yes. voice-activity-detection is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.

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