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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, ASJ-H | 2017-07-21 13:40 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
ILRMA with complex Student's t source model Shinichi Mogami, Daichi Kitamura, Norihiro Takamune, Yoshiki Mitsui, Hiroshi Saruwatari (Univ. of Tokyo), Nobutaka Ono (NII), Yu Takahashi, Kazunobu Kondo (Yamaha)  EA2017-23 |
(To be available after the conference date) [more] | EA2017-23 pp.131-136 |
| SP, SIP, EA | 2017-03-01 15:15 |
Okinawa | Okinawa Industry Support Center | Study on a Reduction of Calculated Amount in a Time-Domain Blind Source Separation Tsubasa Inoue (NIT) EA2016-112 SIP2016-167 SP2016-107 |
This paper describes the method for separating the voices using a time-domain Blind Source Separation (BSS) algorithm. E... [more] | EA2016-112 SIP2016-167 SP2016-107 pp.171-176 |
| EA, US (Joint) |
2017-01-25 13:00 |
Kyoto | Doshisha Univ. | [Poster Presentation]
Study on efficient solver for independent low-rank matrix analysis with sparse time-series-activity regularization Yoshiki Mitsui (Univ. Tokyo), Daichi Kitamura (SOKENDAI), Shinnosuke Takamichi (Univ. Tokyo), Nobutaka Ono (NII/SOKENDAI), Hiroshi Saruwatari (Univ. Tokyo) EA2016-72 |
In this paper, we propose a new blind source separation (BSS) method based on independent low-rank matrix analysis (ILRM... [more] | EA2016-72 pp.25-30 |
| EA, SP, SIP | 2016-03-28 13:15 |
Oita | Beppu International Convention Center B-ConPlaza | [Poster Presentation]
Convolutive Blind Source Separation with multi-stage Approximate Joint Diagonalization Toshiki Mori, Shinya Saito (TUS), Kunio Oishi (Tokyo Univ. of Tech.), Tosihiro Furukawa (TUS) EA2015-76 SIP2015-125 SP2015-104 |
In this paper, we present an approach of recovering signal waveforms of speech sources from observed signals in noisy a... [more] |
EA2015-76 SIP2015-125 SP2015-104 pp.57-62 |
| EA, EMM | 2015-11-12 17:00 |
Kumamoto | Kumamoto Univ. | Noise suppression method for body-conducted soft speech based on external noise monitoring Yusuke Tajiri (NAIST), Tomoki Toda (Nagoya Univ.), Satoshi Nakamura (NAIST) EA2015-31 EMM2015-52 |
As one of the silent speech interfaces, nonaudible murmur (NAM) microphone has been developed for detecting an extremely... [more] | EA2015-31 EMM2015-52 pp.41-46 |
| SIP, EA, SP | 2015-03-02 09:50 |
Okinawa | Unified approach for BSS, DOA estimation, audio event detection and dereverberation with multichannel factorial HMM and DOA mixture model Takuya Higuchi (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/ NTT) EA2014-74 SIP2014-115 SP2014-137 |
We deal with the problems of blind source separation, dereverberation, audio event detection and DOA estimation. We prev... [more] | EA2014-74 SIP2014-115 SP2014-137 pp.13-18 |
|
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Unified approach for auditory scene analysis based on multichannel factorial hidden Markov model Takuya Higuchi (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) IBISML2014-57 |
This paper deals with the problems of audio source separation, audio event detection, dereverberation and DOA estimation... [more] | IBISML2014-57 pp.169-176 |
| SP, IPSJ-MUS | 2014-05-24 11:30 |
Tokyo | Underdetermined Blind Separation of Moving Sources Based on Probabilistic Modeling Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-20 |
This paper deals with the problem of the underdetermined blind separation and tracking of moving sources. In practical s... [more] | SP2014-20 pp.211-216 |
|
| IBISML | 2014-03-07 11:10 |
Nara | Nara Women's University | Blind Separation of Sparse and Smooth Signals via Approximate Message Passing Algorithm Shigeki Yokoyama, Toshiyuki Tanaka (Kyoto Univ.) IBISML2013-76 |
We consider the problem to recover source signals from noisy mixed ones. This can be described as a matrix reconstructio... [more] | IBISML2013-76 pp.71-78 |
| SIS | 2013-12-12 13:00 |
Tottori | Torigin Bunka Kaikan (Tottori) | [Tutorial Lecture]
Enhancement and Separation for Speech Signals Arata Kawamura (Osaka Univ.) SIS2013-35 |
In this paper, we discus about three main topics of speech processing technologies. First, we review and discuss about a... [more] | SIS2013-35 pp.47-52 |
| EA | 2013-10-11 14:15 |
Kyoto | NTT CS Lab. | [Invited Talk]
Independent Component Analysis: Basic Theory and Recent Advances Aapo Hyvarinen (Univ. of Helsinki) EA2013-67 |
[more] | EA2013-67 p.23 |
| SP, EA, SIP | 2013-05-16 10:55 |
Okayama | Permutation-free clustering-based source separation based on time-varying mixture weights Nobutaka Ito, Shoko Araki, Tomohiro Nakatani (NTT) EA2013-2 SIP2013-2 SP2013-2 |
To avoid the permutation problem in clustering-based source separation, we introduce a mixture model with time-varying, ... [more] | EA2013-2 SIP2013-2 SP2013-2 pp.7-12 |
|
| SP, EA, SIP | 2013-05-16 13:00 |
Okayama | [Invited Talk]
Fast Blind Source Separation Based on Auxiliary-function-based Independent Vector Analysis Nobutaka Ono (NII) EA2013-5 SIP2013-5 SP2013-5 |
In this paper, the fast and stable blind source separation algorithm, which is derived by applying auxiliary function me... [more] | EA2013-5 SIP2013-5 SP2013-5 pp.25-30 |
|
| NLP | 2013-03-14 10:20 |
Chiba | Nishi-Chiba campus, Chiba Univ. | A Nonlinear Blind Source Separation using a Ring Particle Swarm Optimization Algorithm Takuya Kurihara, Kenya Jin'no (Nippon Inst. of Tech) NLP2012-146 |
Blind source separation (BSS) is a technique for recovering an original source signal from mixing signals without the ai... [more] | NLP2012-146 pp.13-18 |
| NLP | 2013-03-14 10:45 |
Chiba | Nishi-Chiba campus, Chiba Univ. | The influence of distribution error on blind signal separation method using PSO Masanori Kimoto, Syoya Tomita, Kenya Jin'no (Nippon Inst. of Tech.) NLP2012-147 |
Blind signal separation (BSS) is a technique for reconstructing each channel's source signal using only the observed mix... [more] | NLP2012-147 pp.19-23 |
| SIP, CAS, CS | 2013-03-14 16:05 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | [Invited Talk]
On the issues of DOA Estimation and Separation for Multiple Speech Signals Nozomu Hamada (Keio Univ.) CAS2012-108 SIP2012-139 CS2012-114 |
On the issues of direction-of-arrival estimation of multiple sound sources and blind source separation of mixed speech s... [more] | CAS2012-108 SIP2012-139 CS2012-114 pp.69-74 |
| EA | 2012-12-14 10:40 |
Tokyo | National Institute of Informatics | Under-Determined Audio Source Separation Based on MAP Spectral Estimation Using Log-Spectral Prior Yasuaki Iwata (Nagoya Univ.), Tomohiro Nakatani, Masakiyo Fujimoto, Takuya Yoshioka (NTT CS Labs), Hirofumi Saito (Nagoya Univ.) EA2012-114 |
Assuming speech to be non-stationary Gaussian process, maximum likelihood spectral estimation has been studied as an eff... [more] | EA2012-114 pp.29-34 |
| EA | 2012-06-08 13:40 |
Shizuoka | Yamaha Co. | Blind speech extraction for non-audible murmur speech with speaker's movement noise Miyuki Itoi, Ryoichi Miyazaki, Tomoki Toda, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2012-40 |
In this paper, we address an improvement method of noise reduction used in multichannel Non-Audible Murmur (NAM) based o... [more] | EA2012-40 pp.43-48 |
| EA | 2012-06-08 15:10 |
Shizuoka | Yamaha Co. | Performance comparison of MMSE and sparse models in source separation using multichannel Wiener filter Ryutaro Sakanashi, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-43 |
Multichannel Wiener filter proposed by Duong {\it et al}. can conduct underdetermined blind source separation (BSS) with... [more] | EA2012-43 pp.61-66 |
| EA | 2012-03-16 15:30 |
Tokyo | Central Research Laboratory, Hitachi, Ltd. | Improvement of the element selection scheme for FDICA Kenji Fujita, Kota Takahashi (UEC) EA2011-127 |
ICA attracts attention as a solution of BSS. However, it is very difficult to get a good separation performance in real ... [more] | EA2011-127 pp.43-48 |
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