steve-adminandClaude Sonnet 5
23c2ea09db
Ran on RTX 3090 against the extracted audio track from media-files/; confirms the whisperx + CUDA pipeline works end to end. Co-Authored-By: Claude Sonnet 5 <[email protected]> Claude-Session: https://claude.ai/code/session_01SN15Vxn4svKuhYxFsVtMJf
20 lines
668 B
Markdown
20 lines
668 B
Markdown
# whisperx
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Speech-to-text demos using [WhisperX](https://github.com/m-bain/whisperX) — fast transcription with word-level timestamps and speaker diarization.
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## Demo run
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Ran on an RTX 3090 against `media-files/audio/service-mbrs-ntscrm-01840194-01840194.m4a`
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(audio track extracted from the sample video in `media-files/video/`):
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```
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whisperx media-files/audio/service-mbrs-ntscrm-01840194-01840194.m4a \
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--model medium \
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--output_dir whisperx/transcripts \
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--output_format all \
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--compute_type float16
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```
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Outputs (json/srt/tsv/txt/vtt) are in `whisperx/transcripts/`. Language auto-detected as English;
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sentence-level timestamps aligned via wav2vec2.
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