Commit History

Long-form confirmed on a second TED talk: parity with whisper-small
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Final: weights-focused card, real long-form results, documented limits
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Correction: long-form is this model's strength, not its weakness (WER 8.88 vs whisper-small 27.57)
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Long-form test results: retract unverified single-pass and speaker claims
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Final benchmark table: WER + speed over upstream baseline, all engines
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Residual-fusion default: +0.04 WER row, engine ratio ~3.0x upstream
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Accuracy in the open: four-engine WER table incl. whisper; speed as engine ratios
6822117
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Refresh accuracy tables on the current portable build (094b53c): 4/6 languages identical, corpus +0.30; add MLS-FR anchor row and hotword biasing note
409d175
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Final results: same-build WER comparison (corpus 13.65 vs 13.95), deterministic runtime, speed pointer to repo
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Split responsibilities with the GitHub README: card owns model+WER, repo owns speed+reproduction
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Add measured WER cost of dropping the F16 output projection
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Upload README.md with huggingface_hub
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