| Presentation | 2017-03-01 [Poster Presentation] Indoor-environmental sound identification based on deep neural network with higher-dimensional features Sakiko Mishima, Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Surveillance systems with a video camera have been utilized for the safety of people. It is important to identify the indoor-environmental sound in order to monitor the situations in the dark and blind areas. In the past, the acoustic model has been constructed on the basis of hidden Markov model (HMM) with mel frequency cepstrum coefficient (MFCC). However, it is difficult to identify the indoor-environmental sound with high accuracy because the acoustic features of the sound are effected by the reverberation. We propose the method to identify the indoor-environmental sound on the basis of deep neural network (DNN) with higher-dimentional features. In this paper, we investigate filter bank features, log-power spectrum and waveform as higher-dimensional features.From an evaluation experiment, we confirm the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Environmental sound discrimination / Higher-dimentional feature / Deep neural network / Acoustic model |
| Paper # | EA2016-87,SIP2016-142,SP2016-82 |
| Date of Issue | 2017-02-22 (EA, SIP, SP) |
| Conference Information | |
| Committee | SP / SIP / EA |
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| Conference Date | 2017/3/1(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Industry Support Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics |
| Chair | Kazunori Mano(Shibaura Inst. of Tech.) / Makoto Nakashizuka(Chiba Inst. of Tech.) / Mitsunori Mizumachi(Kyushu Inst. of Tech.) |
| Vice Chair | Hiroki Mori(Utsunomiya Univ.) / Masahiro Okuda(Univ. of Kitakyushu) / Shogo Muramatsu(Niigata Univ.) / Yoichi Haneda(Univ. of Electro-Comm.) / Suehiro Shimauchi(NTT) |
| Secretary | Hiroki Mori(Kobe Univ.) / Masahiro Okuda(Shizuoka Univ.) / Shogo Muramatsu(Ritsumeikan Univ.) / Yoichi Haneda(Chiba Inst. of Tech.) / Suehiro Shimauchi(KDDI R&D Labs.) |
| Assistant | Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Osamu Watanabe(Takushoku Univ.) / Shigeto Takeoka(Shizuoka Inst. of Science and Tech.) / TREVINO Jorge(Tohoku Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Speech / Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Indoor-environmental sound identification based on deep neural network with higher-dimensional features |
| Sub Title (in English) | |
| Keyword(1) | Environmental sound discrimination |
| Keyword(2) | Higher-dimentional feature |
| Keyword(3) | Deep neural network |
| Keyword(4) | Acoustic model |
| 1st Author's Name | Sakiko Mishima |
| 1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 2nd Author's Name | Yukoh Wakabayashi |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 3rd Author's Name | Takahiro Fukumori |
| 3rd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 4th Author's Name | Masato Nakayama |
| 4th Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 5th Author's Name | Takanobu Nishiura |
| 5th Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| Date | 2017-03-01 |
| Paper # | EA2016-87,SIP2016-142,SP2016-82 |
| Volume (vol) | vol.116 |
| Number (no) | EA-475,SIP-476,SP-477 |
| Page | pp.pp.31-36(EA), pp.31-36(SIP), pp.31-36(SP), |
| #Pages | 6 |
| Date of Issue | 2017-02-22 (EA, SIP, SP) |