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COMPARISON OF EFFICIENCY FOR SPEECH RECOGNITION BETWEEN NEURAL NETWORK AND CORRELATION

Journal: International Journal of Application or Innovation in Engineering & Management (IJAIEM) (Vol.4, No. 5)

Publication Date:

Authors : ; ; ;

Page : 389-394

Keywords : KEYWORDS: Speech Production; framing of speech signals; cross correlation; auto correlation MFCC; feed forward neural network.;

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Abstract

ABSTRACT In this paper an efficiency of the speech recognition system is compared between the correlation and neural network to recognize Hindi words in MATLAB. This paper takes a brief look at the basic building block of a speech recognition engine. It talks about implementation of different types of modules i.e. Sound Recorder, Framing, Correlation, Feature Extractor and Neural Network Training. In real life, this speech recognition technology might be used in voice calling, call center automation, in data entry, in medical documentation, etc.

Last modified: 2015-06-15 13:51:49