chrissewell/whisperX
1
0
Fork 0
mirror of https://github.com/m-bain/whisperX.git synced 2025-07-01 18:17:27 -04:00
Code Issues Packages Projects Releases Wiki Activity

docs: Update README example commands with generic audio path

Browse Source
This commit is contained in:
Barabazs
2025-02-19 08:24:04 +01:00
parent 44e8bf5bb6
commit f8d11df727
1 changed files with 5 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
README.md
View File

@ -129,7 +129,7 @@ To **enable Speaker Diarization**, include your Hugging Face access token (read)
Run whisper on example segment (using default params, whisper small) add `--highlight_words True` to visualise word timings in the .srt file. Run whisper on example segment (using default params, whisper small) add `--highlight_words True` to visualise word timings in the .srt file.
whisperx examples/sample01.wav whisperx path/to/audio.wav
Result using *WhisperX* with forced alignment to wav2vec2.0 large: Result using *WhisperX* with forced alignment to wav2vec2.0 large:
@ -143,16 +143,16 @@ https://user-images.githubusercontent.com/36994049/207743923-b4f0d537-29ae-4be2-
For increased timestamp accuracy, at the cost of higher gpu mem, use bigger models (bigger alignment model not found to be that helpful, see paper) e.g. For increased timestamp accuracy, at the cost of higher gpu mem, use bigger models (bigger alignment model not found to be that helpful, see paper) e.g.
whisperx examples/sample01.wav --model large-v2 --align_model WAV2VEC2_ASR_LARGE_LV60K_960H --batch_size 4 whisperx path/to/audio.wav --model large-v2 --align_model WAV2VEC2_ASR_LARGE_LV60K_960H --batch_size 4
To label the transcript with speaker ID's (set number of speakers if known e.g. `--min_speakers 2` `--max_speakers 2`): To label the transcript with speaker ID's (set number of speakers if known e.g. `--min_speakers 2` `--max_speakers 2`):
whisperx examples/sample01.wav --model large-v2 --diarize --highlight_words True whisperx path/to/audio.wav --model large-v2 --diarize --highlight_words True
To run on CPU instead of GPU (and for running on Mac OS X): To run on CPU instead of GPU (and for running on Mac OS X):
whisperx examples/sample01.wav --compute_type int8 whisperx path/to/audio.wav --compute_type int8
### Other languages ### Other languages
@ -163,7 +163,7 @@ Currently default models provided for `{en, fr, de, es, it}` via torchaudio pipe
#### E.g. German #### E.g. German
whisperx --model large-v2 --language de examples/sample_de_01.wav whisperx --model large-v2 --language de path/to/audio.wav
https://user-images.githubusercontent.com/36994049/208298811-e36002ba-3698-4731-97d4-0aebd07e0eb3.mov https://user-images.githubusercontent.com/36994049/208298811-e36002ba-3698-4731-97d4-0aebd07e0eb3.mov