Selection of Optimum Mother Wavelet Function for Turkish Phonemes
| Autor: | Özkan Arslan, Erkan Zeki Engin |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Discrete wavelet transform
Conditional entropy Kullback–Leibler divergence Speech recognition 020208 electrical & electronic engineering Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) 02 engineering and technology General Medicine Mutual information Joint entropy Wavelet Computer Science::Sound 0202 electrical engineering electronic engineering information engineering Entropy (information theory) 020201 artificial intelligence & image processing Discrete wavelet transform energy entropy information theoretic measure mother wavelet selection Meyer wavelet Mathematics |
| Zdroj: | Volume: 7, Issue: 3 56-64 International Journal of Applied Mathematics Electronics and Computers |
| ISSN: | 2147-8228 |
| DOI: | 10.18100/ijamec.556850 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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