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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2010 Vol.2(4): 642-646 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.216

Exploring the Discrete Wavelet Transform as a Tool for Hindi Speech Recognition

Shivesh Ranjan

Abstract—In this paper, we propose a new scheme for recognition of isolated words in Hindi Language speech, based on the Discrete Wavelet Transform. We first compute the Discrete Wavelet Transform coefficients of the speech signal. Then, Linear Predictive Coding Coefficients of the Discrete Wavelet Transform coefficients are calculated. Our scheme then uses K Means Algorithm on the obtained Linear Predictive Coding Coefficients to form a Vector Quantized codebook. Recognition of a spoken Hindi word is carried out by first calculating its Discrete Wavelet Transform Coefficients, followed by Linear Predictive Coding Coefficient calculation of these Coefficients, and then deciding in favor of the Hindi word whose corresponding centroid (in the Vector Quantized codebook) gives a minimum squared Euclidean distance error with respect to the word under test.

Index Terms—discrete wavelet transform; linear predicitive coding; vector quantization; hindi ;speech recognition

Shivesh Ranjan is with Electronics and Communication Engineering, Manipal Institute of Technology, Manipal 576104, India (email:srjn1@yahoo.com)


Cite: Shivesh Ranjan, "Exploring the Discrete Wavelet Transform as a Tool for Hindi Speech Recognition," International Journal of Computer Theory and Engineering vol. 2, no. 4, pp. 642-646, 2010.  

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