Presentation 2019-03-15
[Poster Presentation] Robustness of statistical voice conversion based on waveform modification against external noise
Yusuke Kurita, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, we investigate the statistical voice conversion (VC) under noisy environments. VC achieves conversion from input speech to target speech by statistically modeling correspondence between input and target acoustic features. To develop various VC applications, such as augmented speech production and augmented vocal production, it is necessary to handle noisy input speech because various background sounds, such as external noise and accompaniment, usually exist in a real environment.In this report, we investigate an impact of background sounds on conversion performance in singing voice conversion focusing on a vocoder-based conversion method and a vocoder-free conversion method based on direct waveform modification with log-spectral differential compensation (DIFFVC).Results of subjective evaluation show that DIFFVC is robust against background sounds compared with the vocoder-based conversion method.We also analyze the robustness of DIFFVC using a kurtosis ratio as an objective metric to evaluate distribution changes of power spectral components.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Statistical voice conversion / background sounds / vocoder / direct waveform modification / kurtosis ratio
Paper # EA2018-153,SIP2018-159,SP2018-115
Date of Issue 2019-03-07 (EA, SIP, SP)

Conference Information
Committee EA / SIP / SP
Conference Date 2019/3/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English) i+Land nagasaki (Nagasaki-shi)
Topics (in Japanese) (See Japanese page)
Topics (in English) Engineering/Electro Acoustics, Signal Processing, Speech, and Related Topics
Chair Suehiro Shimauchi(Kanazawa Inst. of Tech.) / Shogo Muramatsu(Niigata Univ.) / Yoichi Yamashita(Ritsumeikan Univ.)
Vice Chair Kenichi Furuya(Oita Univ.) / Kanji Watanabe(Akita Pref. Univ.) / Naoyuki Aikawa(TUS) / Kazunori Hayashi(Osaka City Univ) / Akinobu Ri(Nagoya Inst. of Tech.)
Secretary Kenichi Furuya(Shizuoka Inst. of Science and Tech.) / Kanji Watanabe(NHK) / Naoyuki Aikawa(Takushoku Univ.) / Kazunori Hayashi(Hiroshima Univ.) / Akinobu Ri(Kyoto Univ.)
Assistant Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / Katsumi Konishi(Hosei Univ.) / hyihsin(Takushoku Univ.) / Tomoki Koriyama(Tokyo Inst. of Tech.) / Satoshi Kobashikawa(NTT)

Paper Information
Registration To Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing / Technical Committee on Speech
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] Robustness of statistical voice conversion based on waveform modification against external noise
Sub Title (in English)
Keyword(1) Statistical voice conversion
Keyword(2) background sounds
Keyword(3) vocoder
Keyword(4) direct waveform modification
Keyword(5) kurtosis ratio
1st Author's Name Yusuke Kurita
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Kazuhiro Kobayashi
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Kazuya Takeda
3rd Author's Affiliation Nagoya University(Nagoya Univ.)
4th Author's Name Tomoki Toda
4th Author's Affiliation Nagoya University/JST PRESTO(Nagoya Univ./JST PRESTO)
Date 2019-03-15
Paper # EA2018-153,SIP2018-159,SP2018-115
Volume (vol) vol.118
Number (no) EA-495,SIP-496,SP-497
Page pp.pp.317-322(EA), pp.317-322(SIP), pp.317-322(SP),
#Pages 6
Date of Issue 2019-03-07 (EA, SIP, SP)