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Paper Abstract and Keywords
Presentation 2017-03-02 09:00
[Poster Presentation] Performance evaluation of noisy shouted speech detection based on acoustic model with rahmonic and mel-frequency cepstrum coefficients
Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.), Hiroaki Nanjo (Kyoto Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes a method based on new combined features with mel-frequency cepstrum coefficients (MFCCs) and rahmonic in order to robustly detect a shouted speech in noisy environments. MFCCs collectively make up mel-frequency cepstrum, and rahmonic shows a subharmonic of fundamental frequency in the cepstrum domain. In our previous method, Gaussian mixture models (GMM) is constructed with the proposed features extracted from training data which includes a lot of normal and shouted speech samples. In this paper, evaluation experiments of noisy shouted speech detection were conducted using not only GMM but also hidden Markov models (HMM) and deep neural network (DNN). The results show that MFCCs and rahmonic were effective for representing an utterance mechanism including both vocal tract and vocal cords. In addition, DNN could achieve higher performance in noisy environments than GMM and HMM.
Keyword (in Japanese) (See Japanese page) 
(in English) Shouted speech detection / Noisy environment / Rahmonic / Mel-frequency cepstrum coefficients / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 477, SP2016-127, pp. 283-286, March 2017.
Paper # SP2016-127 
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 SP 
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) Performance evaluation of noisy shouted speech detection based on acoustic model with rahmonic and mel-frequency cepstrum coefficients 
Sub Title (in English)  
Keyword(1) Shouted speech detection  
Keyword(2) Noisy environment  
Keyword(3) Rahmonic  
Keyword(4) Mel-frequency cepstrum coefficients  
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1st Author's Name Takahiro Fukumori  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Masato Nakayama  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Takanobu Nishiura  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Hiroaki Nanjo  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker
Date Time 2017-03-02 09:00:00 
Presentation Time 90 
Registration for SP 
Paper # IEICE-EA2016-132,IEICE-SIP2016-187,IEICE-SP2016-127 
Volume (vol) IEICE-116 
Number (no) no.475(EA), no.476(SIP), no.477(SP) 
Page pp.283-286 
#Pages IEICE-4 
Date of Issue IEICE-EA-2017-02-22,IEICE-SIP-2017-02-22,IEICE-SP-2017-02-22 


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