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🎹 Voice activity detection

Relies on 2.1: see installation instructions.

# 1. visit and accept user conditions
# 2. visit to create an access token
# 3. instantiate pretrained voice activity detection pipeline

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

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


  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},
  Title = {{ 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},
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