| Presentation | 2016-03-29 [Poster Presentation] A Study of Indoor-environmental Sound Discrimination Based on Deep Neural Network with Mel-cepstrum 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. Environmental sound discrimination have been proposed 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 extract the features in all indoor-environmental sounds. Deep neural network (DNN) is able to extract the essential feature from input signals. We proposed the discrimination method based on DNN with MFCC and confirmed the effectiveness of it with the evaluation experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Environmental sound discrimination / Representation learning / Feature extraction / Modeling / Deep neural network |
| Paper # | EA2015-121,SIP2015-170,SP2015-149 |
| Date of Issue | 2016-03-21 (EA, SIP, SP) |
| Conference Information | |
| Committee | EA / SP / SIP |
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| Conference Date | 2016/3/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Beppu International Convention Center B-ConPlaza |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, Speech, Signal Processing, and Related Topics |
| Chair | Yoichi Haneda(Univ. of Electro-Comm.) / Kazunori Mano(Shibaura Inst. of Tech.) / Osamu Houshuyama(NEC) |
| Vice Chair | Yukio Iwaya(Tohoku Gakuin Univ.) / Mitsunori Mizumachi(Kyushu Inst. of Tech.) / Norihide Kitaoka(Tokushima Univ.) / Makoto Nakashizuka(Chiba Inst. of Tech.) / Masahiro Okuda(Univ. of Kitakyushu) |
| Secretary | Yukio Iwaya(NTT) / Mitsunori Mizumachi(KDDI R&D Labs.) / Norihide Kitaoka(Tokyo City Univ.) / Makoto Nakashizuka(Kobe Univ.) / Masahiro Okuda(NEC) |
| Assistant | Shoichi Koyama(Univ. of Tokyo) / Takashi Nose(Tohoku Univ.) / Taichi Asami(NTT) / Takamichi Miyata(Chiba Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Technical Committee on Speech / Technical Committee on Signal Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] A Study of Indoor-environmental Sound Discrimination Based on Deep Neural Network with Mel-cepstrum |
| Sub Title (in English) | |
| Keyword(1) | Environmental sound discrimination |
| Keyword(2) | Representation learning |
| Keyword(3) | Feature extraction |
| Keyword(4) | Modeling |
| Keyword(5) | Deep neural network |
| 1st Author's Name | Sakiko Mishima |
| 1st Author's Affiliation | Ritsumeikan University(Ritsumeikan University) |
| 2nd Author's Name | Yukoh Wakabayashi |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan University) |
| 3rd Author's Name | Takahiro Fukumori |
| 3rd Author's Affiliation | Ritsumeikan University(Ritsumeikan University) |
| 4th Author's Name | Masato Nakayama |
| 4th Author's Affiliation | Ritsumeikan University(Ritsumeikan University) |
| 5th Author's Name | Takanobu Nishiura |
| 5th Author's Affiliation | Ritsumeikan University(Ritsumeikan University) |
| Date | 2016-03-29 |
| Paper # | EA2015-121,SIP2015-170,SP2015-149 |
| Volume (vol) | vol.115 |
| Number (no) | EA-521,SIP-522,SP-523 |
| Page | pp.pp.305-310(EA), pp.305-310(SIP), pp.305-310(SP), |
| #Pages | 6 |
| Date of Issue | 2016-03-21 (EA, SIP, SP) |