International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation COMPARSION OF EFFICIENCY FOR SPEECH RECOGNITION BETWEEN NEURAL NETWORK AND CORRELATION, Authors : Pooja Mittal , Kapil sachdeva, Lovely Dhawan, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 4, Issue 5, May 2015

Title:
COMPARSION OF EFFICIENCY FOR SPEECH RECOGNITION BETWEEN NEURAL NETWORK AND CORRELATION
Author Name:
Pooja Mittal , Kapil sachdeva, Lovely Dhawan
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. KEYWORDS: Speech Production, framing of speech signals, cross correlation, auto correlation MFCC, feed forward neural network.
Cite this article:
Pooja Mittal , Kapil sachdeva, Lovely Dhawan , " COMPARSION OF EFFICIENCY FOR SPEECH RECOGNITION BETWEEN NEURAL NETWORK AND CORRELATION " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 4, Issue 5, May 2015 , pp. 389-394 , ISSN 2319 - 4847.
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