Presentation 2017-12-22
A Sound Source Separation Method for Multiple Person Speech Recognition using Wavelet Analysis Based on Sound Source Position Obtained by Depth Sensor
Nobuhiro Uehara, Kazuo Ikeshiro, Hiroki Imamura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, voice information guidance systems are used for only one person in operating at a city hall. To realize operating for multiple people simultaneously, we propose a sound source separation method using wavelet analysis based on positions of user obtained by depth sensor. Through the results of evaluation experiments, we found the proposed method was equal to or greater than that of a conventional method in recognition accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Speech Recognition / Sound Source Separation / Noise Reduction / Depth Image / Sparse Modeling
Paper # SP2017-63
Date of Issue 2017-12-14 (SP)

Conference Information
Committee NLC / IPSJ-NL / SP / IPSJ-SLP
Conference Date 2017/12/20(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Waseda Univ. Green Computing Systems Research Organization
Topics (in Japanese) (See Japanese page)
Topics (in English) The 4th Natural Language Processing Symposium & The 19th Spoken Language Symposium
Chair Hiroshi Kanayama(IBM) / Kentaro Inui(Tohoku Univ.) / Yoichi Yamashita(Ritsumeikan Univ.) / Nobuaki Minematsu(Univ. Tokyo)
Vice Chair Takeshi Sakaki(Hottolink) / Kazutaka Shimada(Kyushu Inst. of Tech.) / / Hiroki Mori(Utsunomiya Univ.)
Secretary Takeshi Sakaki(Ryukoku Univ.) / Kazutaka Shimada(NTT) / (Osaka Univ.) / Hiroki Mori(Tokyo Inst. of Tech.) / (Mixi Co. Ltd.)
Assistant Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Takeshi Kobayakawa(NICT) / / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Natural Language / Technical Committee on Speech / Special Interest Group on Spoken Language Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Sound Source Separation Method for Multiple Person Speech Recognition using Wavelet Analysis Based on Sound Source Position Obtained by Depth Sensor
Sub Title (in English)
Keyword(1) Speech Recognition
Keyword(2) Sound Source Separation
Keyword(3) Noise Reduction
Keyword(4) Depth Image
Keyword(5) Sparse Modeling
1st Author's Name Nobuhiro Uehara
1st Author's Affiliation Soka University(Soka Univ.)
2nd Author's Name Kazuo Ikeshiro
2nd Author's Affiliation Soka University(Soka Univ.)
3rd Author's Name Hiroki Imamura
3rd Author's Affiliation Soka University(Soka Univ.)
Date 2017-12-22
Paper # SP2017-63
Volume (vol) vol.117
Number (no) SP-368
Page pp.pp.79-83(SP),
#Pages 5
Date of Issue 2017-12-14 (SP)