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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, US (Joint) |
2019-01-22 14:00 |
Kyoto | Doshisha Univ. | [Poster Presentation]
A study of improving method for nonstationary noise contained in a measured impulse response Wataru Kinoshita, Yutaka Kaneda (TDU)  EA2018-93 |
The impulse response is an important system characteristic from which the frequency response and reverberation time of a... [more] | EA2018-93 pp.1-6 |
| EA | 2018-02-15 16:15 |
Hiroshima | Pref. Univ. Hiroshima | [Invited Talk]
Signal Processing for Sound Environment System with Non-Gaussian, Nonlinear and Nonstationary Properties
-- My forty-year history at a slow pace -- Akira Ikuta (Prefectural Univ. Hiroshima) EA2017-96 |
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] | EA2017-96 p.19 |
| MBE, NC (Joint) |
2016-03-22 13:00 |
Tokyo | Tamagawa University | Basic Study for Nonstationary Component Detection of Biological Signals by using a Stationary-Nonstationary Separating Filter Yukari Yukari, Go Okuyama, Masataka Kitama, Hisae O.Shimizu, Masaji Yamashita (HUS) MBE2015-108 |
Biological signal is important for medical diagnosis and treatment, so analysis accuracy of biological signals must be i... [more] | MBE2015-108 pp.27-31 |
| 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 |
| 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 |
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| SIS | 2010-03-04 11:35 |
Kanagawa | Kanagawa Institute of Technology | A Method of Impact Noise Reduction in Speech Signal with Gaussian-Mixed Type Adaptive Wiener Filter Kyoya Naoki, Kaoru Arakawa (Meiji Univ.) SIS2009-51 |
Authors proposed before a method for reducing impact noise in speech signal. It detects contaminated parts of speech seq... [more] | SIS2009-51 pp.17-22 |
| SIS | 2008-06-13 09:30 |
Hokkaido | A Method for Sudden Noise Reduction from Speech Using a Stationary-Nonstationary Separating Filter Kyoya Naoki, Kaoru Arakawa (Meiji Univ.) SIS2008-14 |
Authors propose a method for sudden noise reduction. This method first detects noisy part of the input signal, contamina... [more] | SIS2008-14 pp.1-6 |
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