Presentation 2018-03-19
Non-parallel and Many-to-Many Voice Conversion Using Variational Autoencoder Conditioned by Phonetic Posteriorgrams and d-vectors
Yuki Saito, Yusuke Ijima, Kyosuke Nishida, Shinnosuke Takamichi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes novel frameworks for non-parallel and many-to-many voice conversion (VC) using variational autoencoders (VAEs). In conventional VAE-based VC, converted speech quality is significantly degraded due to an over-regularization of latent variables representing phonetic contents. To overcome the issue, this paper proposes a VAE-based non-parallel VC conditioned by not only the speaker codes but also phonetic posteriorgrams (PPGs) predicted from pre-trained speech recognition models. This paper also extends the conventional VC to many-to-many VC that can convert arbitrary speakers’ characteristics into another ones. We compare two methods to realize this: 1) speaker code adaptation, and 2) the use of $d$-vectors obtained by using pre-trained speaker verification models. Experimental results demonstrate that 1) PPGs successfully improve converted speech quality, and 2) both speaker codes and $d$-vectors can be adopted to the VAE-based non-parallel and many-to-many VC.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) non-parallel voice conversion / many-to-many voice conversion / variational autoencoders / phonetic posteriorgrams / d-vectors
Paper # EA2017-105,SIP2017-114,SP2017-88
Date of Issue 2018-03-12 (EA, SIP, SP)

Conference Information
Committee SIP / EA / SP / MI
Conference Date 2018/3/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI]
Chair Masahiro Okuda(Univ. of Kitakyushu) / Suehiro Shimauchi(NTT) / Yoichi Yamashita(Ritsumeikan Univ.) / Kensaku Mori(Nagoya Univ.)
Vice Chair Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Mitsunori Mizumachi(Kyutech) / Hiroki Mori(Utsunomiya Univ.) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.)
Secretary Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Mitsunori Mizumachi(Akita Pref. Univ.) / Hiroki Mori(Shizuoka Inst. of Science and Tech.) / Yoshiki Kawata(Shizuoka Univ.) / Yuichi Kimura(Meijo Univ.)
Assistant Masayoshi Nakamoto(Hiroshima Univ.ひろ) / TREVINO Jorge(Tohoku Univ.) / Nobutaka Ito(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics / Technical Committee on Speech / Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Non-parallel and Many-to-Many Voice Conversion Using Variational Autoencoder Conditioned by Phonetic Posteriorgrams and d-vectors
Sub Title (in English)
Keyword(1) non-parallel voice conversion
Keyword(2) many-to-many voice conversion
Keyword(3) variational autoencoders
Keyword(4) phonetic posteriorgrams
Keyword(5) d-vectors
1st Author's Name Yuki Saito
1st Author's Affiliation NTT Media Intelligence Laboratories, NTT Corporation/The University of Tokyo(NTT/Univ. of Tokyo)
2nd Author's Name Yusuke Ijima
2nd Author's Affiliation NTT Media Intelligence Laboratories, NTT Corporation(NTT)
3rd Author's Name Kyosuke Nishida
3rd Author's Affiliation NTT Media Intelligence Laboratories, NTT Corporation(NTT)
4th Author's Name Shinnosuke Takamichi
4th Author's Affiliation The University of Tokyo(Univ. of Tokyo)
Date 2018-03-19
Paper # EA2017-105,SIP2017-114,SP2017-88
Volume (vol) vol.117
Number (no) EA-515,SIP-516,SP-517
Page pp.pp.21-26(EA), pp.21-26(SIP), pp.21-26(SP),
#Pages 6
Date of Issue 2018-03-12 (EA, SIP, SP)