| Presentation | 2019-03-14 [Poster Presentation] Snore sound identification using noise suppression and multi-class classification under real environments Keisuke Nishijima, Ken'ichi Furuya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the conventional snore sound identification method, there is an issue that performance deteriorates when identifying snore sound under real environments. Therefore, it is necessary to deal with various stationary and nonstationary noise which is the cause of the drop. In this research, we tried to deal with stationary noise by spectral subtraction method of noise suppression method. We regarded nonstationary noise as a class for each type of noise and tried to identify snore sound using multi-class classification. For multi-class classification, multi-kernel learning with support vector machine, multilayer perceptron which is one kind of neural network was used. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Snore sound / Support vector machine / Multiple kernel learning / Multilayer perceptron / Deep learning |
| Paper # | EA2018-106,SIP2018-112,SP2018-68 |
| Date of Issue | 2019-03-07 (EA, SIP, SP) |
| Conference Information | |
| Committee | EA / SIP / SP |
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| Conference Date | 2019/3/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | i+Land nagasaki (Nagasaki-shi) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, Signal Processing, Speech, and Related Topics |
| Chair | Suehiro Shimauchi(Kanazawa Inst. of Tech.) / Shogo Muramatsu(Niigata Univ.) / Yoichi Yamashita(Ritsumeikan Univ.) |
| Vice Chair | Kenichi Furuya(Oita Univ.) / Kanji Watanabe(Akita Pref. Univ.) / Naoyuki Aikawa(TUS) / Kazunori Hayashi(Osaka City Univ) / Akinobu Ri(Nagoya Inst. of Tech.) |
| Secretary | Kenichi Furuya(Shizuoka Inst. of Science and Tech.) / Kanji Watanabe(NHK) / Naoyuki Aikawa(Takushoku Univ.) / Kazunori Hayashi(Hiroshima Univ.) / Akinobu Ri(Kyoto Univ.) |
| Assistant | Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / Katsumi Konishi(Hosei Univ.) / hyihsin(Takushoku Univ.) / Tomoki Koriyama(Tokyo Inst. of Tech.) / Satoshi Kobashikawa(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing / Technical Committee on Speech |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Snore sound identification using noise suppression and multi-class classification under real environments |
| Sub Title (in English) | |
| Keyword(1) | Snore sound |
| Keyword(2) | Support vector machine |
| Keyword(3) | Multiple kernel learning |
| Keyword(4) | Multilayer perceptron |
| Keyword(5) | Deep learning |
| 1st Author's Name | Keisuke Nishijima |
| 1st Author's Affiliation | Oita University(Oita Univ.) |
| 2nd Author's Name | Ken'ichi Furuya |
| 2nd Author's Affiliation | Oita University(Oita Univ.) |
| Date | 2019-03-14 |
| Paper # | EA2018-106,SIP2018-112,SP2018-68 |
| Volume (vol) | vol.118 |
| Number (no) | EA-495,SIP-496,SP-497 |
| Page | pp.pp.43-48(EA), pp.43-48(SIP), pp.43-48(SP), |
| #Pages | 6 |
| Date of Issue | 2019-03-07 (EA, SIP, SP) |