Presentation 2019-03-15
[Invited Talk] Realization of real-time blind source separation with auxiliary-function-based algorithms
Nobutaka Ono,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Blind source separation is a signal processing technique to estimate sound source signals only from the observation of mixture without using any prior information such as sound source positions. From a wide range of applicability including speech recognition, it has been studied for a long time. In particular, independent component analysis (ICA) and independent vector analysis (IVA) are typical methods, but conventional natural gradient-based algorithms need a large number of iterations until convergence, which was a big problem for practical application. For solving this, since around 2010, the author has derived epoch-making fast algorithms that guarantees convergence, solves ICA and IVA using a framework of optimization called the auxiliary function method. The author has been working on better, on-line, low-latency algorithms, and recently realized a real-time blind source separation system. In this talk, the author will introduce these works.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) blind source separation / independent component analysis / independent vector analysis / auxiliary function method / real-time processing
Paper # EA2018-133,SIP2018-139,SP2018-95
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) [Invited Talk] Realization of real-time blind source separation with auxiliary-function-based algorithms
Sub Title (in English)
Keyword(1) blind source separation
Keyword(2) independent component analysis
Keyword(3) independent vector analysis
Keyword(4) auxiliary function method
Keyword(5) real-time processing
1st Author's Name Nobutaka Ono
1st Author's Affiliation Tokyo Metropolitan University(TMU)
Date 2019-03-15
Paper # EA2018-133,SIP2018-139,SP2018-95
Volume (vol) vol.118
Number (no) EA-495,SIP-496,SP-497
Page pp.pp.203-203(EA), pp.203-203(SIP), pp.203-203(SP),
#Pages 1
Date of Issue 2019-03-07 (EA, SIP, SP)