Comparison of Digit Recognition Techniques
Abstract
This paper describes the implementation of two isolated digit recognition techniques and is a comparison between the algorithms implemented. Any digit recognition comprises of mainly two stages feature extraction and similarity evaluation. Here, two feature extraction techniques, namely linear predictive cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are implemented and the similarity evaluation is done using Euclidean distance and Dynamic Time Warping (DTW). The results obtained for these algorithms are perused and conclusions are drawn.
Keywords
digit recognition; linear predictive cepstral coefficients; mel frequency cepstral coefficients; euclidean distance; dynamic time warping
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PDFCopyright (c) 2015 Sreeja Nair, Milind Shah
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