788 citations · 1.2k across the 41 of their papers we have counts for
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cs.CL2020★ 21 cited
DiscreTalk: Text-to-Speech as a Machine Translation Problem
Tomoki Hayashi, Shinji Watanabe
This paper proposes a new end-to-end text-to-speech (E2E-TTS) model based on neural machine translation (NMT). The proposed model consists of two components; a non-autoregressive v…
cs.CL2020★ 9 cited
ESPnet-ST: All-in-One Speech Translation Toolkit
Hirofumi Inaguma, Shun Kiyono, Kevin Duh +4
We present ESPnet-ST, which is designed for the quick development of speech-to-speech translation systems in a single framework. ESPnet-ST is a new project inside end-to-end speech…