Abstract
In this paper, a technique for Hindi syllable segmentation is proposed. Syllable segmentation boundaries for words are first computed using the zero-crossing-rate of the speech signals. Words comprising of syllables ending with consonants and vowels are considered. The performance of the segmentation using a zero-crossing-rate algorithm can be further improved. The ZCR computed boundaries are optimized by decomposing the signal into low and high-frequency components using wavelet decomposition. A method is proposed which uses the ratio of the high to the low-frequency energy of the decomposed signal to compute the accurate syllable segmentation boundaries along with the ZCR function. The accuracy rate of syllable segmentation thus achieved is 96.02% for syllables ending with stop consonants and vowels.
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