Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
AP (2nd) |
2014-01-10 09:20 |
Overseas |
Le Quy Don Technical University (Hanoi, Vietnam) |
A Consideration of FastICA Algorithm Using Spatial Smoothing Preprocessing for Separation of Coherent Signals Tomomi Imai, Nobuyoshi Kikuma, Hiroshi Hirayama, Kunio Sakakibara (NIT) |
Blind signal separation techniques bring many advantages in radio monitoring systems using array antennas. Among them, I... [more] |
|
NC, MBE (Joint) |
2013-12-21 14:45 |
Gifu |
Gifu University |
A study on superimposition mode of mastication EMG on EEG, and its trial separation with use of FDICA Shigeru Tominaga (Meiji), Hisashi Yoshida, Noboru Nakasako (Kinki University) MBE2013-86 |
In conducting mood analysis while eating by use of EEG, counted on an objective method of preference survey. Artifacts i... [more] |
MBE2013-86 pp.57-62 |
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 |
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 |
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 |
2012-06-08 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 |
PRMU, SP |
2012-02-10 15:20 |
Miyagi |
|
Multi-band speech recognition using confidence of blind source separation Atsushi Ando, Hiromasa Ohashi (Nagoya Univ.), Sunao Hara (NAIST), Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) PRMU2011-234 SP2011-149 |
One of the main applications of Blind Source Separation (BSS) is to improve performance of Automatic Speech Recognition ... [more] |
PRMU2011-234 SP2011-149 pp.219-224 |
EA, US (Joint) |
2012-01-26 13:00 |
Osaka |
Kansai Univ. |
Evaluation of Blind Speech Extraction for Speech Archiving of Poster Session Kodai Okamoto, Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2011-107 |
In this report, we propose a 19-channel microphone array recording system used for blind speech extraction and diarizati... [more] |
EA2011-107 pp.19-24 |
MBE, NC (Joint) |
2011-11-24 10:50 |
Miyagi |
ECEI Departments, Graduate School of Engineering, Tohoku University |
Estimation of fetal vector electrocardiography through blind source separation Yuji Nabeshima, Yoshitaka Kimura, Takuya Ito, Naoaki Satou, Akihiro Karashima, Norihiro Katayama, Mitsuyuki Nakao (Tohoku Univ.) MBE2011-59 |
Electrocardiograph (ECG) could be modeled as a rotating vector (heartvector) representing spatio-temporal electrical act... [more] |
MBE2011-59 pp.13-17 |
EA |
2011-06-23 15:15 |
Hokkaido |
Health Sci. Univ. of Hokkaido |
Reducing Computational Complexity of ICA Source Separation Based on Coherence Between Observed Signals Yusuke Mizuno, Satoshi Esaki (Nagoya Univ.), Kazunobu Kondo (Yamaha), Takanori Nishino (Mie Univ.), Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) EA2011-33 |
Source separation techniques can be used in the preprocessing of speech signals, in order to improve speech recognition ... [more] |
EA2011-33 pp.19-24 |
EA, SIP, SP |
2011-05-12 10:50 |
Osaka |
Ritsumeikan Univ. |
High-Resolution Frequency Analysis Based on ICA Eiichiro Nada, Arata Kawamura, Youji Iiguni (Osaka Univ.) EA2011-5 SIP2011-5 SP2011-5 |
When we obtain a signal which contains some sinusoidal waves.The Fourier analysis is conventionally used to analyze each... [more] |
EA2011-5 SIP2011-5 SP2011-5 pp.25-29 |
EA |
2011-03-18 10:00 |
Aichi |
Nagoya Univ. |
Tiny-setup Blind Source Separation via Time-Varying Softmask based on Alternative Separation Matrix Kazunobu Kondo, Yu Takahashi, Seiichi Hashimoto (Yamaha Corp.), Takanori Nishino (Mie Univ.), Kazuya Takeda (Nagoya Univ.) EA2010-126 |
Frequency domain independent component analyis has received much attention from many industries for high performace spee... [more] |
EA2010-126 pp.1-6 |
EA |
2011-03-18 10:30 |
Aichi |
Nagoya Univ. |
Blind Source Separation for Acoustic Echo Cancelation during Double-Talk Kana Akahori (UEC), Yoshihiro Sakai (Tsuyama NCT), Muhammad Tahir Akhtar, Wataru Mitsuhashi (UEC) EA2010-127 |
An acoustic echo canceler (AEC) has been used to remove acoustic echoes generated in hands-free telecommunications. The ... [more] |
EA2010-127 pp.7-12 |
SP |
2011-01-27 15:45 |
Kyoto |
NICT |
Relation between musical noise generation in nonlinear signal processing and speech recognition performance Ryoichi Miyazaki, Takayuki Inoue, Nobuhisa Hirata, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Tomoya Takatani (TOYOTA) SP2010-106 |
In this paper, we discuss a relation between musical noise generation in nonlinear signal processing and
speech recogni... [more] |
SP2010-106 pp.19-24 |