Add whisperx transcription demo output for sample media
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
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{"segments": [{"start": 0.847, "end": 3.369, "text": " from the Library of Congress in Washington, D.C.", "words": [{"word": "from", "start": 0.847, "end": 1.007, "score": 0.795}, {"word": "the", "start": 1.027, "end": 1.107, "score": 0.832}, {"word": "Library", "start": 1.147, "end": 1.647, "score": 0.894}, {"word": "of", "start": 1.668, "end": 1.748, "score": 0.5}, {"word": "Congress", "start": 1.808, "end": 2.268, "score": 0.771}, {"word": "in", "start": 2.448, "end": 2.528, "score": 0.832}, {"word": "Washington,", "start": 2.568, "end": 3.088, "score": 0.869}, {"word": "D.C.", "start": 3.128, "end": 3.369, "score": 0.953}], "avg_logprob": -0.08811598557692307}, {"start": 35.875, "end": 47.583, "text": " We shall show you in this film typical examples of children who have been well brought up, the kind who grow up to be strong, healthy, and happy like these young folks.", "words": [{"word": "We", "start": 35.875, "end": 35.975, "score": 0.999}, {"word": "shall", "start": 36.016, 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0.993}, {"Line truncated
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