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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 2020Show all

6 papers · 1 filter

cs.SD2020★ 15 cited

Incremental Text-to-Speech Synthesis Using Pseudo Lookahead with Large Pretrained Language Model

Takaaki Saeki, Shinnosuke Takamichi, Hiroshi Saruwatari

This letter presents an incremental text-to-speech (TTS) method that performs synthesis in small linguistic units while maintaining the naturalness of output speech. Incremental TT…

eess.AS2020

JSSS: free Japanese speech corpus for summarization and simplification

Shinnosuke Takamichi, Mamoru Komachi, Naoko Tanji +1

In this paper, we construct a new Japanese speech corpus for speech-based summarization and simplification, "JSSS" (pronounced "j-triple-s"). Given the success of reading-style spe…

cs.SD2020★ 2 cited

RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis

Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi +3

Environmental sound synthesis is a technique for generating a natural environmental sound. Conventional work on environmental sound synthesis using sound event labels cannot finely…

cs.SD2020★ 2 cited

PJS: phoneme-balanced Japanese singing voice corpus

Junya Koguchi, Shinnosuke Takamichi

This paper presents a free Japanese singing voice corpus that can be used for highly applicable and reproducible singing voice synthesis research. A singing voice corpus helps deve…

cs.SD2020

Lifter Training and Sub-band Modeling for Computationally Efficient and High-Quality Voice Conversion Using Spectral Differentials

Takaaki Saeki, Yuki Saito, Shinnosuke Takamichi +1

In this paper, we propose computationally efficient and high-quality methods for statistical voice conversion (VC) with direct waveform modification based on spectral differentials…

cs.SD2020★ 2 cited

JVS-MuSiC: Japanese multispeaker singing-voice corpus

Hiroki Tamaru, Shinnosuke Takamichi, Naoko Tanji +1

Thanks to developments in machine learning techniques, it has become possible to synthesize high-quality singing voices of a single singer. An open multispeaker singing-voice corpu…