activity
20172026
most citedJSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis

88 citations · 286 across the 82 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.SD2021★ 12 cited

JTubeSpeech: corpus of Japanese speech collected from YouTube for speech recognition and speaker verification

Shinnosuke Takamichi, Ludwig Kürzinger, Takaaki Saeki +2

In this paper, we construct a new Japanese speech corpus called "JTubeSpeech." Although recent end-to-end learning requires large-size speech corpora, open-sourced such corpora for…

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…

cs.SD2021

Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network

Takaaki Saeki, Shinnosuke Takamichi, Hiroshi Saruwatari

Incremental text-to-speech (TTS) synthesis generates utterances in small linguistic units for the sake of real-time and low-latency applications. We previously proposed an incremen…

cs.HC2021

HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception

Yota Ueda, Kazuki Fujii, Yuki Saito +3

We propose a conditional generative adversarial network (GAN) incorporating humans' perceptual evaluations. A deep neural network (DNN)-based generator of a GAN can represent a rea…

cs.SD2021★ 2 cited

Onoma-to-wave: Environmental sound synthesis from onomatopoeic words

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi +3

In this paper, we propose a framework for environmental sound synthesis from onomatopoeic words. As one way of expressing an environmental sound, we can use an onomatopoeic word, w…