typo in --diarize flag

This commit is contained in:
m-bain
2023-01-26 10:28:54 +00:00
committed by GitHub
parent 312f1cc50c
commit d20a2a4ea2

View File

@ -52,7 +52,7 @@ This repository refines the timestamps of openAI's Whisper model via forced alig
- VAD filtering: Voice Activity Detection (VAD) from [Pyannote.audio](https://huggingface.co/pyannote/voice-activity-detection) is used as a preprocessing step to remove reliance on whisper timestamps and only transcribe audio segments containing speech. add `--vad_filter` flag, increases timestamp accuracy and robustness (requires more GPU mem due to 30s inputs in wav2vec2)
- Character level timestamps (see `*.char.ass` file output)
- Diarization (still in beta, add `--diarization`)
- Diarization (still in beta, add `--diarize`)
To enable VAD filtering and Diarization, include your Hugging Face access token that you can generate from [Here](https://huggingface.co/settings/tokens) after the `--hf_token` argument and accept the user agreement for the following models: [Segmentation](https://huggingface.co/pyannote/segmentation) , [Voice Activity Detection (VAD)](https://huggingface.co/pyannote/voice-activity-detection) , and [Speaker Diarization](https://huggingface.co/pyannote/speaker-diarization)