| Presentation | 2016-12-20 [Poster Presentation] Deep Neural Network Using Fundamental Frequency For Noise Robust Speaker Recognition Yoshihiro Suzuki, Yosuke Sugiura, Tetsuya Shimamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a neural network architecture for speaker recognition to simplify learning process. In the proposed method, we use not only the amplitude spectrum but also a harmonic binary vector generated from fundamental frequency as an input for the network. Hence, it is possible to keep recognition accuracy in noisy environment without using a noisy speech, and also possible to reduce both network size and computation time. In an experiment for 10 speakers, we could confirm a performance improvement in noisy environment relative to using only the amplitude spectrum. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / Neural Network / Speaker Recognition / Fundamental Frequency |
| Paper # | SP2016-58 |
| Date of Issue | 2016-12-13 (SP) |
| Conference Information | |
| Committee | SP / IPSJ-SLP / NLC / IPSJ-NL |
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| Conference Date | 2016/12/20(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | NTT Musashino R&D |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 18th Spoken Language Symposium & The Third Natural Language Processing Symposium |
| Chair | Kazunori Mano(Shibaura Inst. of Tech.) / Nobuaki Minematsu(Univ. Tokyo) / Hiroshi Kanayama(IBM) / Kentaro Inui(Tohoku Univ.) |
| Vice Chair | Hiroki Mori(Utsunomiya Univ.) / / Makoto Ichise(NTT DoCoMo) / Takeshi Sakaki(Univ. of Tokyo/Hottolink) |
| Secretary | Hiroki Mori(Kobe Univ.) / (Shizuoka Univ.) / Makoto Ichise(Kyoyo Univ.) / Takeshi Sakaki(Toshiba) / (Tokyo Institute of Technology) |
| Assistant | Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / / Ryuichiro Higashinaka(NTT) / Mitsuo Yoshida(Toyohashi Univ. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Speech / Special Interest Group on Spoken Language Processing / Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Natural Language |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Deep Neural Network Using Fundamental Frequency For Noise Robust Speaker Recognition |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Neural Network |
| Keyword(3) | Speaker Recognition |
| Keyword(4) | Fundamental Frequency |
| 1st Author's Name | Yoshihiro Suzuki |
| 1st Author's Affiliation | Saitama University(Saitama Univ.) |
| 2nd Author's Name | Yosuke Sugiura |
| 2nd Author's Affiliation | Saitama University(Saitama Univ.) |
| 3rd Author's Name | Tetsuya Shimamura |
| 3rd Author's Affiliation | Saitama University(Saitama Univ.) |
| Date | 2016-12-20 |
| Paper # | SP2016-58 |
| Volume (vol) | vol.116 |
| Number (no) | SP-378 |
| Page | pp.pp.53-56(SP), |
| #Pages | 4 |
| Date of Issue | 2016-12-13 (SP) |