Automatic Control and Computer Sciences

, Volume 52, Issue 1, pp 25–31 | Cite as

Syllable Segmentation of Tamil Speech Signals Using Vowel Onset Point and Spectral Transition Measure

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Abstract

Segmentation plays vital role in speech recognition systems. An automatic segmentation of Tamil speech into syllable has been carried out using Vowel Onset Point (VOP) and Spectral Transition Measure (STM). VOP is a phonetic event used to identify the beginning point of the vowel in speech signals. Spectral Transition Measure is performed to find the significant spectral changes in speech utterances. The performance of the proposed syllable segmentation method is measured corresponding to manual segmentation and compared with the exiting syllable method using VOP and Vowel Offset Point (VOF). The result of the experiments shows the effectiveness of the proposed system.

Keywords

syllable segmentation spectral transition measure vowel onset point vowel offset point linear prediction cepstral coefficients 

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© Allerton Press, Inc. 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceBharathiar UniversityCoimbatore, TamilnaduIndia
  2. 2.Department of Information TechnologyBharathiar UniversityCoimbatore, TamilnaduIndia

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