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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2019-12-12 14:00 |
Fukuoka | Kyushu Inst. Tech. | Removal of musical noise using deep learning without pre-training Takuya Fujimura, Ryoichi Miyazaki (NITTC)  EA2019-69 |
In this paper, we propose the musical noise elimination using the deep learning which does not require pre-training. It ... [more] | EA2019-69 pp.23-29 |
| EA, ASJ-H, EMM, IPSJ-MUS [detail] | 2018-11-21 13:30 |
Ishikawa | Hotel Koshuen | Evaluation of DNN-based Low-Musical-Noise Speech Enhancement Using Kurtosis Matching Satoshi Mizoguchi, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari (UTokyo) EA2018-66 EMM2018-66 |
This paper proposes DNN-based speech enhancement with low musical noise by kurtosis matching. Musical noise, artifacts g... [more] | EA2018-66 EMM2018-66 pp.19-24 |
| PRMU, BioX | 2017-03-21 16:50 |
Aichi | On Data Extension For Signal Data Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.) BioX2016-73 PRMU2016-236 |
Efficient learning using limited data in machine learning is also important now even in the era of big data. In the case... [more] | BioX2016-73 PRMU2016-236 pp.237-242 |
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| 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 |
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| SP, EA, SIP | 2013-05-16 17:45 |
Okayama | Study on optimal divergence for superresolution-based supervised nonnegative matrix factorization Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo, Yu Takahashi (YAMAHA) EA2013-14 SIP2013-14 SP2013-14 |
This paper addresses a stereo signal separation problem and gives an experimental study on optimal divergence for superr... [more] | EA2013-14 SIP2013-14 SP2013-14 pp.79-84 |
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| US, EA (Joint) |
2013-01-24 11:20 |
Kyoto | Kambaikan, Doshisha Univ. | Signal separation for real instruments based on supervised NMF with basis deformation Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo, Yu Takahashi (Yamaha) EA2012-121 |
Nonnegative Matrix Factorization (NMF) is one of the technique used for separation of an audio mixture that consists of ... [more] | EA2012-121 pp.13-18 |
| EA, US (Joint) |
2012-01-26 13:30 |
Osaka | Kansai Univ. | Evaluation of Musical-Noise-Free Noise Reduction Under Real Acoustic Environments Ryoichi Miyazaki, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (YAMAHA) EA2011-108 |
In this report, we propose a new theory of nonlinear noise reduction with a perfectly musical-noise-free property, wher... [more] |
EA2011-108 pp.25-30 |
| 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 | 2010-06-11 11:00 |
Hokkaido | Health Sci. Univ. of Hokkaido | Mathematical metric of amount of musical noise in recursive spectral subtraction Takayuki Inoue, Hiroshi Saruwatari, Yu Takahashi, Kiyohiro Shikano (NAIST), Kazunobu Kondo (Yamaha Corporate Research and Development Center) EA2010-30 |
In this paper, we provide a new theoretical analysis of the amount of musical noise generated via iterative spectral sub... [more] | EA2010-30 pp.47-52 |
| SP, EA, SIP | 2010-05-26 16:25 |
Hyogo | Konan Univ. (Hirao Seminar House) | Mathematical metric of musical noise in arbitrary exponent domain SS Takayuki Inoue, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (Center for Advanced Sound Techonogies, Yamaha Corp) EA2010-7 SIP2010-7 SP2010-7 |
In this paper, we provide a new theoretical analysis of the amount of musical noise generated via generalized spectral s... [more] | EA2010-7 SIP2010-7 SP2010-7 pp.37-42 |
| EA, SIP, SP | 2009-05-28 14:15 |
Hyogo | Musical-noise regulation for combination method of channel-domain nonlinear speech enhancement and adaptive array signal processing Yohei Ishiskawa, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (Nara Inst. of Sci and Tech.), Kazunobu Kondo (Yamaha Corp.) EA2009-3 SIP2009-3 SP2009-8 |
Recently, many integration methods of linear microphone array signal processing and nonlinear signal processing for noi... [more] |
EA2009-3 SIP2009-3 SP2009-8 pp.11-16 |
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| EA, US (Joint) |
2009-01-30 11:00 |
Kyoto | Objective sound quality comparison based on higher-order statistics for nonlinear noise reduction methods Yoshihisa Uemura, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (Yamaha) EA2008-127 |
In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral... [more] | EA2008-127 pp.67-72 |
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| EA, US (Joint) |
2009-01-30 11:25 |
Kyoto | Objective sound quality evaluation for combination method of beamforming and spectral subtraction Yu Takahashi, Keiichi Osako, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (Yamaha) EA2008-128 |
In this paper, we conduct an analysis for reduction of musical noise in integration method of microphone array signal p... [more] | EA2008-128 pp.73-78 |
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| EA | 2008-11-21 14:45 |
Oita | Sound source segregation based on the frequency domain binaural model for a binaural hearing assistance system
-- Musical noise reduction using time-frequency filtering -- Ryouji Kawano, Yoshifumi Chisaki, Tsuyoshi Usagawa (Kumamoto Univ.) EA2008-98 |
The frequency domain binaural model (FDBM) has been studied as the basic processing model of a binaural hearing assistan... [more] | EA2008-98 pp.81-86 |
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