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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA 2019-12-13
13:25
Fukuoka Kyushu Inst. Tech. Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78
In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] EA2019-78
pp.85-92
EA 2013-07-19
15:15
Hokkaido Health Sci. Univ. of Hokkaido Evaluation of musical-noise-free blind speech extraction under nonstationary noise environment
Ryoichi Miyazaki, Hiroshi Saruwatari, Satoshi Nakamura, Kiyohiro Shikano (NAIST), Kazunobu Kondo (YAMAHA) EA2013-51
We have already proposed a musical-noise-free blind speech extraction method using a microphone array that can be applie... [more] EA2013-51
pp.105-110
EA 2013-07-19
15:45
Hokkaido Health Sci. Univ. of Hokkaido Semi-Blind Optimization Scheme of Joint Suppression of Background Noise and Late Reverberation
Fine D. Aprilyanti, Hiroshi Saruwatari, Kiyohiro Shikano, Satoshi Nakamura (NAIST), Tomoya Takatani (Toyota) EA2013-52
Recently, a method to jointly suppress diffuse background noise and late reverberation part of speech has been proposed,... [more] EA2013-52
pp.111-116
SP, EA, SIP 2013-05-16
17:20
Okayama   Analysis on musical noise generation for blind speech extraction based on generalized MMSE short-time spectral amplitude estimator
Shunsuke Nakai, Suzumi Kanehara, Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2013-13 SIP2013-13 SP2013-13
In this paper, we give an analysis on the amount of musical noise for blind speech extraction based on a generalized mi... [more] EA2013-13 SIP2013-13 SP2013-13
pp.73-78
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, 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
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
SIP, EA 2008-05-29
16:15
Osaka Kansai Univ. Development of Hands-Free Spoken Dialogue System with Real-Time Blind Spatial Subtraction Array
Yu Takahashi, Keiichi Osako, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2008-16 SIP2008-25
In this paper, we construct a hands-free robot spoken dialogue system based on the real-time blind spatial subtraction
... [more]
EA2008-16 SIP2008-25
pp.59-64
EA 2007-09-28
14:00
Nara Nara Institute of Science and Technology Fast Algorithm for Cancellation of Near Point Source Based on Independent Component Analysis
Keiichi Osako, Yu Takahashi, Yoshimitsu Mori, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2007-57
In this paper, we propose a fast algorithm for cancellation of near point source based on independent component analysis... [more] EA2007-57
pp.13-18
EA 2004-12-10
15:55
Tokyo   Pitch extraction of noisy speech using noise reduction processing and cosine modulation of autocorrelation coefficients sequence
Keita Ogawa, Takeshi Fukabayashi (Shizuoka Univ.)
It is well known that pitch extraction of noisy speech is difficult due to the effect of noise. Therefore, we propose a ... [more] EA2004-114
pp.65-70
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