An open 1M-hour English speech dataset plus Whisper-architecture models trained on it match Whisper's word error rates on short and long-form benchmarks.
On the effects of heterogeneous data sources on speech-to-text foundation models
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OLMoASR: Open Models and Data for Training Robust Speech Recognition Models
An open 1M-hour English speech dataset plus Whisper-architecture models trained on it match Whisper's word error rates on short and long-form benchmarks.