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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 61 - 80 of 120 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
EA 2010-12-10
13:20
Ibaraki Univ. of Tsukuba Blind source separation with distributed microphone pairs and investigation of performance gain using post-filter
Takuma Ono, Nobutaka Ito, Shigeki Miyabe, Nobutaka Ono, Shigeki Sagayama (Tokyo Univ.) EA2010-101
In this paper, we discuss microphone location and the separation method using frequency-domain independent component ana... [more] EA2010-101
pp.25-30
EA 2010-12-10
14:50
Ibaraki Univ. of Tsukuba [Invited Talk] Convolutive blind source separation using time-frequency masks
Hiroshi Sawada, Shoko Araki (NTT) EA2010-104
A blind source separation method for convolutive mixtures is presented. The method is based on time-frequency masks and... [more] EA2010-104
pp.43-48
EA 2010-07-16
13:30
Tokyo RION Co., Ltd. Frequency-domain blind source separation with the least-squares joint diagonalization problem and its evaluation
Shinya Saito (Chiba Inst. of Tech.), Kunio Oishi (Tokyo Univ. of Tech.), Hajime Kubota (Chiba Inst. of Tech.) EA2010-39
This paper presents a frequency-domain backward-model blind source separation (BSS) for solving the least-squares joint ... [more] EA2010-39
pp.7-12
SP, EA, SIP 2010-05-27
09:50
Hyogo Konan Univ. (Hirao Seminar House) Blind signal separation using dodecahedral microphone array in real environment
Motoki Ogasawara (Nagoya Univ.), Takanori Nishino (Mie Univ.), Kazuya Takeda (Nagoya Univ.) EA2010-12 SIP2010-12 SP2010-12
Extracting the acoustic signal of a particular sound source and locating its position is important technique for many ac... [more] EA2010-12 SIP2010-12 SP2010-12
pp.67-72
SIP, CAS, CS 2010-03-01
14:50
Okinawa Hotel Breeze Bay Marina, Miyakojima New Constraint for Blind Extraction
Shunsuke Takeuchi, Kiyotoshi Matsuoka (Kyushu Inst. of Tech.) CAS2009-100 SIP2009-145 CS2009-95
This paper proposes a new algorithm for BSE. The method determines the extractor so that certain linear and nonlinear cr... [more] CAS2009-100 SIP2009-145 CS2009-95
pp.131-136
EA 2009-12-11
15:00
Tokyo   Blind source separation combining closed-form second-order ICA and least-squares ICA
Teppei Matsumoto, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2009-96
In recent years, a system that can pick up a specific sound source signal from recorded sounds, e.g., a system makes min... [more] EA2009-96
pp.19-24
NC, MBE
(Joint)
2009-11-13
13:55
Miyagi Tohoku Univ. A Simulation Study of Single-BSS with References
Toshiaki Hataya, Yoshitaka Kimura, Takuya Ito, Akihiro Karashima, Norihiro Katayama, Nobuo Yaegashi, Mitsuyuki Nakao (Tohoku Univ.) MBE2009-68
Single-ICA can be very useful method to extract independent components from signal observed by single channel. But there... [more] MBE2009-68
pp.37-40
EMCJ 2009-09-04
10:25
Kyoto KEIHANNA PLAZA A trial of blind source separation in radio communication
Takaaki Ishibashi, Eiji Nishiyama, Toyonori Matsuda (Kumamoto National Coll. of Tech.), Hiromu Gotanda (Kinki Univ.) EMCJ2009-38
The blind source separation has been researched and has been yielded practical applications in the field of the acoustic... [more] EMCJ2009-38
pp.19-22
EA 2009-07-17
14:30
Tokyo   Blind Signal Extraction Based on Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator
Ryoi Okamoto, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (Nara Inst. of Sci and Tech.) EA2009-39
In this paper, we propose a new blind speech extraction method consisting of a minimum mean-square error short-time spec... [more] EA2009-39
pp.13-18
SIS 2009-03-06
10:30
Tokyo   A Method of Blind Source Separation for Mixed Voice Separation in Noisy and Reverberating Environment -- Introduction of Genetic Algorithm --
Masato Katou, Kaoru Arakawa (Meiji Univ.)
Various methods have been proposed for blind source separation, but additive noise and reverberation must be considered ... [more] SIS2008-81
pp.55-59
SANE 2009-01-30
11:20
Nagasaki Nagasaki Prefectural Art Museum ICA based signal separation for mixed signals with time-variant frequencies
Takeshi Amishima, Hisakazu Maniwa (Mitsubishi Electric Corp.) SANE2008-105
Wireless LAN and wireless communication system employs MCA(Multi-Channel Access) for efficient use of frequency resource... [more] SANE2008-105
pp.55-59
EA, US
(Joint)
2009-01-30
15:10
Kyoto   Blind Source Separation based on a simplified mixing model
Leandro Di Persia (Entre Rios Univ.), Yoshihiro Morimoto, Masuzo Yanagida (Doshisha Univ.) EA2008-134
Permutation-Free ICA is a method that can avoid so-callled “Permutation problem” that appears in conventional frequency-... [more] EA2008-134
pp.109-114
 Results 61 - 80 of 120 [Previous]  /  [Next]  
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