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
668 B
668 B
whisperx
Speech-to-text demos using 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.