Isolated Word Recognition Using MFCC and Vector Quantization
نویسنده
چکیده
Automatic Speech Recognition (ASR) technology is a way to interface with computer. In this paper we describe speech recognition technique using multiple codebooks of MFCC derived features. The proposed algorithm is useful in detecting isolated words of speech. In this algorithm we first create database i.e. codebook by calculating mel frequency cepstral coefficient first and then codeword for each word. Vector quantization method is used to obtain codeword. Different codewords make a codebook. We calculate distance between uttered speech codeword and codewords which are stored in matrix form to detect the particular word. Codebook reduces processing time. The efficiency obtained by MFCC is much more than the other available techniques. Keywords— MFCC, ASR, Vector quantization, DFT, FFT, Pattern Recognition, Discrete cosine transform.
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