Papers - NANKAKU Yoshihiko

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  • Mel-Cepstrum-Based Quantization Noise Shaping Applied to Neural-Network-Based Speech Waveform Synthesis Reviewed International journal

    Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda

    IEEE/ACM Transactions on Audio, Speech, and Language Processing   26 ( 7 )   1173 - 1180   2018.07

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1109/TASLP.2018.2818408

  • 時間構造を考慮したニューラルネットワークに基づく音声合成における話者適応の検討

    中尾健人, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一

    電子情報通信学会技術研究報告   118 ( 112 )   53 - 58   2018.06

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Statistical voice conversion based on WaveNet Reviewed International journal

    Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda

    2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)   2018.04

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Image recognition based on separable lattice HMMs using a deep neural network for output probability distributions Reviewed International journal

    Eiji Ichikawa, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda

    2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)   2018.04

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Constructing text-to-speech systems for languages with unknown pronunciations Reviewed

    Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

    Acoustical Science and Technology   39 ( 2 )   119 - 129   2018.03

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1250/ast.39.119

  • Singing voice synthesis using timing-lag model based on a deep neural network

    2018.03

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    Language:Japanese   Publishing type:Research paper (other academic)  

  • Singing voice synthesis based on neural network using a structure of a hidden semi-Markov model

    2018.03

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    Language:Japanese   Publishing type:Research paper (other academic)  

  • 隠れマルコフモデルに基づく日本語音声合成ソフトウェア入門 Invited

    大浦 圭一郎, 橋本 佳, 南角 吉彦, 徳田 恵一

    システム制御情報学会誌   62 ( 2 )   57 - 62   2018.02

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.11509/isciesci.62.2_57

  • A study on voice conversion based on WaveNet

    IEICE Technical Report   117 ( 393 )   99 - 104   2018.01

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Trajectory training considering power for speech synthesis based on neural networks

    IEICE Technical Report   117 ( 393 )   43 - 48   2018.01

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Mel-cepstrum based quantization noise shaping applied to speech synthesis based on WaveNet

    IEICE Technical Report   117 ( 393 )   93 - 98   2018.01

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Blizzard Challenge 2017のためのNITechテキスト音声合成システム

    沢田慶, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一

    日本音響学会2017年秋季研究発表会講演論文集   287 - 290   2017.09

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    Language:Japanese   Publishing type:Research paper (other academic)  

  • 音楽SNSの投稿データを利用した歌唱声質変換

    法野行哉, 沢田慶, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一, 近藤大介, 石川大輔

    日本音響学会2017年秋季研究発表会講演論文集   209 - 210   2017.09

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    Language:Japanese   Publishing type:Research paper (other academic)  

  • WaveNet-based voice conversion

    Jumpei Niwa, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda

    日本音響学会2017年秋季研究発表会講演論文集   207 - 208   2017.09

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    Language:English   Publishing type:Research paper (other academic)  

  • WaveNetにおけるメルケプストラムに基づくノイズシェーピング量子化法の適用

    吉村建慶, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一

    日本音響学会2017年秋季研究発表会講演論文集   193 - 194   2017.09

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    Language:Japanese   Publishing type:Research paper (other academic)  

  • Simultaneous optimization of multiple tree-based factor analyzed HMM for speech synthesis Reviewed

    Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda

    IEEE/ACM Transactions on Audio, Speech and Language Processing   25 ( 9 )   1532 - 1541   2017.09

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    Language:English   Publishing type:Research paper (scientific journal)  

  • Articulatory text-to-speech synthesis using the digital waveguide mesh driven by a deep neural network Reviewed International coauthorship

    Amelia Gully, Takenori Yoshimura, Damian Murphy, Kei Hashimoto, Yoshihiko Nankaku, and Keiichi Tokuda

    Proceedings of Interspeech 2017   234 - 238   2017.08

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Image recognition based on discriminative models using features generated from separable lattice HMMs Reviewed

    Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

    Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017)   2607 - 2611   2017.03

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • ニューラルネットワークに基づく音声合成における音響特徴量抽出条件の検討

    村瀬栞, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一

    日本音響学会2017年春季研究発表会講演論文集   263 - 264   2017.03

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    Language:Japanese   Publishing type:Research paper (other academic)  

  • DNN-GMMハイブリッドモデルに基づく声質変換の検討

    市川裕詞, 橋本佳, 大浦圭一郎, 南角吉彦, 徳田恵一

    日本音響学会2017年春季研究発表会講演論文集   233 - 234   2017.03

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    Language:Japanese   Publishing type:Research paper (other academic)  

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