An encoder-based CTC model that predicts whole contextual phrases as single bias tokens, with confidence-based replacement, cuts contextual-phrase WER by about 72% on LibriSpeech and 76% on WenetSpeech.
Con- nectionist temporal classification: labelling unsegmented se- quence data with recurrent neural networks,
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Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation
An encoder-based CTC model that predicts whole contextual phrases as single bias tokens, with confidence-based replacement, cuts contextual-phrase WER by about 72% on LibriSpeech and 76% on WenetSpeech.