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Hindi Syllable Segmentation Using ZCR and Dual Band Energy Ratio


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DOI: https://doi.org/10.15866/irecap.v7i7.13614

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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Keywords


Speech Synthesis; Syllable Segmentation; STE; TTS; ZCR

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References


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