most citedTransformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

26 citations · 26 across the 1 of their papers we have counts for

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1 paper

eess.AS2020★ 26 cited

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Qian Zhang, Han Lu, Hasim Sak +4

In this paper we present an end-to-end speech recognition model with Transformer encoders that can be used in a streaming speech recognition system. Transformer computation blocks…