Analyzing Mel Frequency Cepstral Coefficient for Recognition of Isolated English Word using DTW Matching
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 4
Abstract
In this paper we proposed Mel-frequency cepstrum coefficients feature extraction and Dynamic Time Warping matching algorithm for speech recognition. Feature vector (Mel-frequency cepstrum coefficients) obtained from speech frame by using Fast Fourier Transform and Discrete Cosine Transform. DTW matching algorithm was applied on feature vector thus obtained by varying number of MFCC coefficients. Clustered database was prepared for template matching. The effectiveness of varying vector size over matching was considered.
Authors and Affiliations
Mr. Nitin Goyal , Dr. R. K. Purwar
Keywords
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- EP ID EP27897
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