voice-activity-detection

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}, }