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Misalignment in speculative decoding can lead to a staggering 21-frame error in ASR, but innovative tracking methods can significantly boost efficiency and accuracy.
Quantizing ASR models can actually *improve* performance on rare words, without hurting overall accuracy, by strategically re-weighting the calibration data.
