적응 MFCC와 Neural Network 기반의 음성인식법

Title
적응 MFCC와 Neural Network 기반의 음성인식법
Other Titles
Voice Recognition Based on Adaptive MFCC and Neural Network
Author(s)
이석규배현수[배현수]
Keywords
Speech; Recognition; Noise; MFCC; Filterbank; Neural network; Speech; Recognition; Noise; MFCC; Filterbank; Neural network
Issue Date
201007
Publisher
대한임베디드공학회
Citation
대한임베디드공학회논문지, v.5, no.2, pp.57 - 66
Abstract
In this paper, we propose an enhanced voice recognition algorithm using adaptive MFCC(Mel Frequency Cepstral Coefficients) and neural network. Though it is very important to extract voice data from the raw data to enhance the voice recognition ratio, conventional algorithms are subject to deteriorating voice data when they eliminate noise within special frequency band. Differently from the conventional MFCC, the proposed algorithm imposed bigger weights to some specified frequency regions and unoverlapped filterbank to enhance the recognition ratio without deteriorating voice data. In simulation results, the proposed algorithm shows better performance comparing with MFCC since it is robust to variation of the environment.
URI
http://hdl.handle.net/YU.REPOSITORY/23896
ISSN
1975-5066
Appears in Collections:
공과대학 > 전기공학과 > Articles
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