| Presentation | 2018-11-21 A Study on Sound Source Separation Using Spatio-temporal Sound Pressure Distribution Images and Machine Learning Koichiro Shiozawa, Kenji Ozawa, Tomohiko Ise, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Sound source separation using a microphone array is effective in various situations such as sound source separation in a multi-channel sound system. In addition, by using a neural network (hereinafter NN), which is one of machine learning techniques, it is possible to realize a microphone system with a small array and sharp directivity. However, when a signal is input to a non-linear system such as a NN, non-linear distortion occurs. In a differential system that eliminates target sounds included in the same phase, non-linear distortion to the target sound can be avoided. In this research, we propose a sound source separation method using a ``spatio-temporal sound pressure distribution image'' and a differential system. We examined the effects of various parameters on directivity of the proposed system by computer simulation experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Microphone array / Spatio-temporal sound pressure distribution image / Machine learning / Sound source separation |
| Paper # | EA2018-67,EMM2018-67 |
| Date of Issue | 2018-11-14 (EA, EMM) |
| Conference Information | |
| Committee | EA / ASJ-H / EMM / IPSJ-MUS |
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| Conference Date | 2018/11/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hotel Koshuen |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | [Beginners Session] Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Music and Computer, Content Processing, Digital Watermarking, and Related Topics |
| Chair | Suehiro Shimauchi(Kanazawa Inst. of Tech.) / 小澤 賢司(山梨大) / Keiichi Iwamura(TUC) / 吉井 和佳(京大) |
| Vice Chair | Kenichi Furuya(Oita Univ.) / Kanji Watanabe(Akita Pref. Univ.) / 中川 誠司(千葉大) / Minoru Kuribayashi(Okayama Univ.) / Tetsuya Kojima(NIT,Tokyo College) |
| Secretary | Kenichi Furuya(Shizuoka Inst. of Science and Tech.) / Kanji Watanabe(NHK) / 中川 誠司(尚絅大) / Minoru Kuribayashi(北陸先端大) / Tetsuya Kojima(千葉大) / (NIT, Tokyo) |
| Assistant | Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / / Hiroko Akiyama(NIT, Nagano College) / キタヒロ カネダ(CANON) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Auditory Research Meeting / Technical Committee on Enriched MultiMedia / Special Interest Group on Music and Computer |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Sound Source Separation Using Spatio-temporal Sound Pressure Distribution Images and Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Microphone array |
| Keyword(2) | Spatio-temporal sound pressure distribution image |
| Keyword(3) | Machine learning |
| Keyword(4) | Sound source separation |
| 1st Author's Name | Koichiro Shiozawa |
| 1st Author's Affiliation | University of Yamanashi(Univ. Yamanashi) |
| 2nd Author's Name | Kenji Ozawa |
| 2nd Author's Affiliation | University of Yamanashi(Univ. Yamanashi) |
| 3rd Author's Name | Tomohiko Ise |
| 3rd Author's Affiliation | Alpine Electronics, Inc.(Alpine) |
| Date | 2018-11-21 |
| Paper # | EA2018-67,EMM2018-67 |
| Volume (vol) | vol.118 |
| Number (no) | EA-312,EMM-313 |
| Page | pp.pp.25-30(EA), pp.25-30(EMM), |
| #Pages | 6 |
| Date of Issue | 2018-11-14 (EA, EMM) |