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- W2404274066 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." @default.
- W2404274066 created "2016-06-24" @default.
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- W2404274066 date "2010-01-01" @default.
- W2404274066 modified "2023-09-26" @default.
- W2404274066 title "Voice Recognition Based on Adaptive MFCC and Neural Network" @default.
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