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eess.AS2020
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus
Cal Peyser, Sepand Mavandadi, Tara N. Sainath +3
End-to-end (E2E) automatic speech recognition (ASR) systems lack the distinct language model (LM) component that characterizes traditional speech systems. While this simplifies the…
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…