Insertion-Based Modeling for End-to-End Automatic Speech Recognition

27 May 2020Yuya FujitaShinji WatanabeMotoi OmachiXuankai Chan

End-to-end (E2E) models have gained attention in the research field of automatic speech recognition (ASR). Many E2E models proposed so far assume left-to-right autoregressive generation of an output token sequence except for connectionist temporal classification (CTC) and its variants... (read more)

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