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Paper Abstract and Keywords
Presentation 2008-06-13 10:10
Acoustic Modeling for Robust Recognition using Running Spectrum Analysis
Kazunaga Ohnuki (Kushiro National College of Tech.), Wataru Takahashi, Yoshikazu Miyanaga (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, new robust speech feature model is designed and applied for the continuous speech recognition system. Using this features, the noise robust continuous speech recognition can be realized. The new running spectrum analysis (RSA) method is used in order to remove un-speech components over 15 Hz in modulation spectrum domain. Using RSA, speech features are emphasized for the design of tri-phone HMM. In order to show the performance of the proposed method, some comparisons with conventional ones are given in experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) RSA / Robust speech recognition / Modulation spectrum / Acoustic Modeling / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 86, SIS2008-16, pp. 11-16, June 2008.
Paper # SIS2008-16 
Date of Issue 2008-06-05 (SIS) 

Conference Information
Committee SIS  
Conference Date 2008-06-12 - 2008-06-13 
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Paper Information
Registration To SIS 
Conference Code 2008-06-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acoustic Modeling for Robust Recognition using Running Spectrum Analysis 
Sub Title (in English)  
Keyword(1) RSA 
Keyword(2) Robust speech recognition 
Keyword(3) Modulation spectrum 
Keyword(4) Acoustic Modeling 
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1st Author's Name Kazunaga Ohnuki  
1st Author's Affiliation Kushiro National College of Technology (Kushiro National College of Tech.)
2nd Author's Name Wataru Takahashi  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Yoshikazu Miyanaga  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker
Date Time 2008-06-13 10:10:00 
Presentation Time 20 
Registration for SIS 
Paper # IEICE-SIS2008-16 
Volume (vol) IEICE-108 
Number (no) no.86 
Page pp.11-16 
#Pages IEICE-6 
Date of Issue IEICE-SIS-2008-06-05 


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