Presentation 2017-03-01
Speech waveform synthesis based on WaveNet considering speech generation process
Akira Tamamori, Tomoki Hayashi, Tomoki Toda, Kazuya Takeda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Our aim is to realize a new vocoder, which can resolve various constraints imposed on source-filter model and deal with speech waveform directly. In this study, we propose a method of synthesizing speech waveforms with WaveNet, which was a recently proposed neural network for generating audio signal waveforms, by using existing vocoder parameters as input auxiliary features. It is expected that these parameters are effective for auxiliary feature of waveform generation, because they are based on source-filter model. In the experiment, parameters of mel-cepstrum vocoder were selected as target, and quality of synthesized speech was objectively evaluated by SNR (Signal-to-Noise Ratio) and SDR (Signal-to-Distortion Ratio). From the results, it was confirmed that the sound quality was significantly improved for SNR and proposed method was effective.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) WaveNet / convolutional neural network / source-filter model / mel-cepstrum / fundamental frequency. / vocoder / deep leaning
Paper # EA2016-82,SIP2016-137,SP2016-77
Date of Issue 2017-02-22 (EA, SIP, SP)

Conference Information
Committee SP / SIP / EA
Conference Date 2017/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Industry Support Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics
Chair Kazunori Mano(Shibaura Inst. of Tech.) / Makoto Nakashizuka(Chiba Inst. of Tech.) / Mitsunori Mizumachi(Kyushu Inst. of Tech.)
Vice Chair Hiroki Mori(Utsunomiya Univ.) / Masahiro Okuda(Univ. of Kitakyushu) / Shogo Muramatsu(Niigata Univ.) / Yoichi Haneda(Univ. of Electro-Comm.) / Suehiro Shimauchi(NTT)
Secretary Hiroki Mori(Kobe Univ.) / Masahiro Okuda(Shizuoka Univ.) / Shogo Muramatsu(Ritsumeikan Univ.) / Yoichi Haneda(Chiba Inst. of Tech.) / Suehiro Shimauchi(KDDI R&D Labs.)
Assistant Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Osamu Watanabe(Takushoku Univ.) / Shigeto Takeoka(Shizuoka Inst. of Science and Tech.) / TREVINO Jorge(Tohoku Univ.)

Paper Information
Registration To Technical Committee on Speech / Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speech waveform synthesis based on WaveNet considering speech generation process
Sub Title (in English)
Keyword(1) WaveNet
Keyword(2) convolutional neural network
Keyword(3) source-filter model
Keyword(4) mel-cepstrum
Keyword(5) fundamental frequency.
Keyword(6) vocoder
Keyword(7) deep leaning
1st Author's Name Akira Tamamori
1st Author's Affiliation Nagoya University/JST(Nagoya Univ.)
2nd Author's Name Tomoki Hayashi
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Tomoki Toda
3rd Author's Affiliation Nagoya University(Nagoya Univ.)
4th Author's Name Kazuya Takeda
4th Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2017-03-01
Paper # EA2016-82,SIP2016-137,SP2016-77
Volume (vol) vol.116
Number (no) EA-475,SIP-476,SP-477
Page pp.pp.1-6(EA), pp.1-6(SIP), pp.1-6(SP),
#Pages 6
Date of Issue 2017-02-22 (EA, SIP, SP)