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Voice Recognition Based on Adaptive MFCC and Neural Network  

Bae, Hyun-Soo (영남대학교 전자공학과)
Lee, Suk-Gyu (영남대학교 전자공학과)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.5, no.2, 2010 , pp. 57-66 More about this Journal
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.
Keywords
Speech; Recognition; Noise; MFCC; Filterbank; Neural network;
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Times Cited By KSCI : 1  (Citation Analysis)
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