# whisperx

Speech-to-text demos using [WhisperX](https://github.com/m-bain/whisperX) — fast transcription with word-level timestamps and speaker diarization.

## Demo run

Ran on an RTX 3090 against `media-files/audio/service-mbrs-ntscrm-01840194-01840194.m4a`
(audio track extracted from the sample video in `media-files/video/`):

```
whisperx media-files/audio/service-mbrs-ntscrm-01840194-01840194.m4a \
  --model medium \
  --output_dir whisperx/transcripts \
  --output_format all \
  --compute_type float16
```

Outputs (json/srt/tsv/txt/vtt) are in `whisperx/transcripts/`. Language auto-detected as English;
sentence-level timestamps aligned via wav2vec2.