International Journal of Information and Communication Technology Research

International Journal of Information and Communication Technology Research>> Call for Papers(CFP)>>Volume 7, Number 6, June 2017

International Journal of Information and Communication Technology Research


Evaluation of Different Feature Extraction Techniques for Continuous Speech Recognition

Full Text Pdf Pdf
Author(s) Hamdy K. Elminir, Mohamed Abu ElSoud, L. M. Abou El-Maged
On Pages 906-913
Volume No. 2
Issue No. 12
Issue Date December, 2012
Publishing Date December, 2012
Keywords Mel-frequency cepstral coefficients (MFCC); Linear predictive coding (LPC); Zero Crossings with Peak Amplitudes (ZCPA); Hidden Markov Model(HMM);principal component analysis(PCA)


Abstract


Extracting human's voice feature is the most important process in any speech recognition system. There are many feature extraction techniques which are already used such as MFCC, LPC and ZCPA; but still have some problems especially in the continuous speech. It is important to evaluate different feature extraction techniques for continuous speech by making a comparison between these techniques as a trial to find the most suitable technique for speech recognition process, and trying to enhance the result by using PCA. Using PCA gives great better results especially for ZCPA technique as a comparison to other techniques.

Seperator
    Journal of Information and Communication Technology | Journal of Science and Technology     
Copyrights
2012 IRPN Publishers