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20022019
most citedA Comparative Study on Transformer vs RNN in Speech Applications

788 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CL2019★ 788 cited

A Comparative Study on Transformer vs RNN in Speech Applications

Shigeki Karita, Nanxin Chen, Tomoki Hayashi +10

Sequence-to-sequence models have been widely used in end-to-end speech processing, for example, automatic speech recognition (ASR), speech translation (ST), and text-to-speech (TTS…

cs.CL2018★ 74 cited

ESPnet: End-to-End Speech Processing Toolkit

Shinji Watanabe, Takaaki Hori, Shigeki Karita +9

This paper introduces a new open source platform for end-to-end speech processing named ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition (ASR), and adopts w…