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20182026
most citedA CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition

32 citations · 42 across the 6 of their papers we have counts for

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eess.AS2018

Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units

Zhangyu Xiao, Zhijian Ou, Wei Chu +1

In this paper, we present an end-to-end automatic speech recognition system, which successfully employs subword units in a hybrid CTC-Attention based system. The subword units are…