Related Issues (20)
- RuntimeError with Mixed CUDA Devices for Multi-GPU Training HOT 1
- pyannote uninstalling torch cuda and install torch cpu HOT 8
- 'speechbrain' must be installed to use 'speechbrain/spkrec-ecapa-voxceleb' embeddings. HOT 3
- Error occurs following training tutorial HOT 1
- Speaker Diarizations get_segmentations() raises for several input type variants
- Speaker Diarization pipeline.get_segmentations produces integer ascending start/ends instead of something useful HOT 1
- Embeddings takes 3x the length of the audio length HOT 7
- numpy.ndarray audio input doesn't work? HOT 3
- Audio input as tensor or BytesIO is unexpectedly slow HOT 1
- Cannot instantiate parameters on finetuned model HOT 5
- Can not reproduce "adapting_pretrained_pipeline.ipynb" on local machine HOT 4
- What is the purpose of the Resegmentation and AdaptiveVoiceActivityDetection Pipeline? HOT 1
- Why is pyannote not using my GPU ro CPU? So slow too. HOT 5
- Wrong usage of meta-protocols subsets in segmentation tasks HOT 1
- Speakers with similar pitch are difficult to distinguish HOT 2
- DER above zero when using Oracle Segmentation & Oracle Clustering HOT 2
- How to map the transcribed text with their respective speakers in speaker diarization? HOT 2
- `torchaudio.info.num_frames` can give wrong results so it can provide false exceptions HOT 2
- 3.3 dependencies HOT 2
- outputs of separation module is clipping HOT 6
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from pyannote-audio.