pyannote.audio
PyTorch
TensorBoard
pyannote
pyannote-audio-model
audio
voice
speech
speaker
speaker-recognition
speaker-verification
speaker-identification
speaker-embedding
Instructions to use dereklvlv/embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use dereklvlv/embedding with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("dereklvlv/embedding") 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
- Xet hash:
- a74be6ce17cf99b384b7266537ba5d2800f56c2036feaacfacb6620964229361
- Size of remote file:
- 5.67 MB
- SHA256:
- 3319218e36d416c5400ffbc592acc2e1ab520a187d586be86db7eef30fb65616
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