activity
20192022
most citedA Comparative Study on Transformer vs RNN in Speech Applications

788 citations · 835 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2022★ 1 cited

Embedding a Differentiable Mel-cepstral Synthesis Filter to a Neural Speech Synthesis System

Takenori Yoshimura, Shinji Takaki, Kazuhiro Nakamura +5

This paper integrates a classic mel-cepstral synthesis filter into a modern neural speech synthesis system towards end-to-end controllable speech synthesis. Since the mel-cepstral…

cs.CL2021★ 28 cited

ESPnet2-TTS: Extending the Edge of TTS Research

Tomoki Hayashi, Ryuichi Yamamoto, Takenori Yoshimura +7

This paper describes ESPnet2-TTS, an end-to-end text-to-speech (E2E-TTS) toolkit. ESPnet2-TTS extends our earlier version, ESPnet-TTS, by adding many new features, including: on-th…

eess.AS2021★ 4 cited

Neural Sequence-to-Sequence Speech Synthesis Using a Hidden Semi-Markov Model Based Structured Attention Mechanism

Yoshihiko Nankaku, Kenta Sumiya, Takenori Yoshimura +4

This paper proposes a novel Sequence-to-Sequence (Seq2Seq) model integrating the structure of Hidden Semi-Markov Models (HSMMs) into its attention mechanism. In speech synthesis, i…

eess.AS2020★ 2 cited

End-to-End Automatic Speech Recognition Integrated With CTC-Based Voice Activity Detection

Takenori Yoshimura, Tomoki Hayashi, Kazuya Takeda +1

This paper integrates a voice activity detection (VAD) function with end-to-end automatic speech recognition toward an online speech interface and transcribing very long audio reco…

cs.CL2019★ 12 cited

ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue +6

This paper introduces a new end-to-end text-to-speech (E2E-TTS) toolkit named ESPnet-TTS, which is an extension of the open-source speech processing toolkit ESPnet. The toolkit sup…

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…