Voice Activity Detection
pyannote.audio
ONNX
pyannote
pyannote-audio-model
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
speaker-segmentation
overlapped-speech-detection
resegmentation
Instructions to use fedirz/segmentation_community_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use fedirz/segmentation_community_1 with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("fedirz/segmentation_community_1") 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
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Download README.md from fedirz/segmentation_community_1: direct link, hf CLI and curl.
- Browser
- Download file 393 Bytes
-
https://huggingface.co/fedirz/segmentation_community_1/resolve/main/README.md
- Command line
-
hf download hf://fedirz/segmentation_community_1/README.md
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curl -L -o README.md https://huggingface.co/fedirz/segmentation_community_1/resolve/main/README.md
393 Bytes
metadata
tags:
- pyannote
- pyannote-audio
- pyannote-audio-model
- audio
- voice
- speech
- speaker
- speaker-diarization
- speaker-change-detection
- speaker-segmentation
- voice-activity-detection
- overlapped-speech-detection
- resegmentation
- onnx
license: mit