A learned future-audio density ratio, FoCCE, is inserted into the streaming transducer forward recursion during training and modestly reduces word error rates.
Improving proper noun recog- nition in end-to-end asr by customization of the mwer loss criterion,
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Towards Maximum Likelihood Training for Transducer-based Streaming Speech Recognition
A learned future-audio density ratio, FoCCE, is inserted into the streaming transducer forward recursion during training and modestly reduces word error rates.