Presentation 2018-03-20
Development of NU non-parallel Voice Conversion System 2018
Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper introduces the NU non-parallel voice conversion (VC) system developed at Nagoya University for SPOKE task of Voice Conversion Challenge 2018 (VCC2018). The goal of the SPOKE task is to develop VC systems without the requirement of parallel training data. In the previous version of the system, we developed a deep neural network (DNN) based cascade VC system to convert the source voice into the target voice via the TTS voice as the reference. However, the two stages conversion caused performance degradation. As a result, in this paper, we propose a compensation AutoEncoder technique to compensate the mismatch between the output of first stage conversion and the input of the second stage conversion. In addition, we also investigate the use of deep mixture density network (DMDN) to avoid the DNN-based limitations of the lack of ability to predict variance and the unimodal nature. The objective evaluation results shows the effectiveness of DMDN and the potential improvement of compensation AutoEncoder.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) non-parallel voice conversion / mixture density neural network / cascade system, compensation AutoEncoder
Paper # EA2017-172,SIP2017-181,SP2017-155
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 ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of NU non-parallel Voice Conversion System 2018
Sub Title (in English)
Keyword(1) non-parallel voice conversion
Keyword(2) mixture density neural network
Keyword(3) cascade system, compensation AutoEncoder
1st Author's Name Yi-Chiao Wu
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Patrick Lumban Tobing
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Tomoki Hayashi
3rd Author's Affiliation Nagoya University(Nagoya Univ.)
4th Author's Name Kazuhiro Kobayashi
4th Author's Affiliation Nagoya University(Nagoya Univ.)
5th Author's Name Tomoki Toda
5th Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2018-03-20
Paper # EA2017-172,SIP2017-181,SP2017-155
Volume (vol) vol.117
Number (no) EA-515,SIP-516,SP-517
Page pp.pp.385-390(EA), pp.385-390(SIP), pp.385-390(SP),
#Pages 6
Date of Issue 2018-03-12 (EA, SIP, SP)