In noisy speech, Whisper often assigns high confidence to wrong tokens; a selective token-level temperature-scaling calibrator reduces ECE by 58% on the R-SPIN low-SNR range.
Proper error estimation and calibration for attention-based encoder-decoder models,
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Identifying and Calibrating Overconfidence in Noisy Speech Recognition
In noisy speech, Whisper often assigns high confidence to wrong tokens; a selective token-level temperature-scaling calibrator reduces ECE by 58% on the R-SPIN low-SNR range.