IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
... (for ESS/CS/ES/ISS)
Tech. Rep. Archives
... (for ES/CS)
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2017-03-01 12:40
[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 (Ritsumeikan Univ.)
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Environmental sound discrimination / Higher-dimentional feature / Deep neural network / Acoustic model / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 475, EA2016-87, pp. 31-36, March 2017.
Paper # EA2016-87 
Date of Issue 2017-02-22 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SP SIP EA  
Conference Date 2017-03-01 - 2017-03-02 
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 
Paper Information
Registration To EA 
Conference Code 2017-03-SP-SIP-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 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  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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.)
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker
Date Time 2017-03-01 12:40:00 
Presentation Time 90 
Registration for EA 
Paper # IEICE-EA2016-87,IEICE-SIP2016-142,IEICE-SP2016-82 
Volume (vol) IEICE-116 
Number (no) no.475(EA), no.476(SIP), no.477(SP) 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-EA-2017-02-22,IEICE-SIP-2017-02-22,IEICE-SP-2017-02-22 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan