Voice Activity Detection
pyannote.audio
PyTorch
pyannote
pyannote-audio-model
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
speaker-segmentation
overlapped-speech-detection
resegmentation
Instructions to use pyannote/segmentation-3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use pyannote/segmentation-3.0 with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("pyannote/segmentation-3.0") inference = Inference(model) # inference on the whole file inference("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) inference.crop("file.wav", excerpt) - Notebooks
- Google Colab
- Kaggle
token or model access expires
#7
by npino56 - opened
Along with my greetings, I'd like to know the limitations of using the Hugging Face token for diary generation. I'm generating transcriptions with the WhisperLarge-v3 model, and we're creating a batch workflow for hundreds of audio files. I'd like to know what usage considerations I should keep in mind if I want to scale the solution using this method, where I'm passing the token within the code.