In this paper, we propose the selection of most suitable mother wavelet
function for Turkish phonemes using discrete wavelet transform. The
determination of most similar mother wavelet function to the signal has been a
challenge in speech processing. The optimum mother wavelet function for Turkish
phonemes have been determined by using quantitative measures which are energy
and Shannon entropy, information theoretic measures which are joint entropy,
conditional entropy, mutual information, and relative entropy from wavelet
coefficients of the phonemes. In this study, 101 potential functions were
investigated to determine the most appropriate mother wavelet. Experimental
results show that the most appropriate wavelet functions for /ç/ and /ş/
phonemes which are unvoiced fricatives have been found as Bi-orthogonal 3.9 and
Bi-orthogonal 5.5, respectively. By considering all the results, it is seen
that the Bi-orthogonal 3.1 and Discrete Meyer wavelet functions are the most
suitable mother wavelets for all other phonemes.
Discrete wavelet transform energy entropy information theoretic measure mother wavelet selection
Primary Language | English |
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Journal Section | Research Article |
Authors | |
Publication Date | September 30, 2019 |
Published in Issue | Year 2019 |