Syllable Segmentation of Tamil Speech Signals Using Vowel Onset Point and Spectral Transition Measure
- 作者: Geetha K.1, Vadivel R.2
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隶属关系:
- Department of Computer Science
- Department of Information Technology
- 期: 卷 52, 编号 1 (2018)
- 页面: 25-31
- 栏目: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175442
- DOI: https://doi.org/10.3103/S0146411618010042
- ID: 175442
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详细
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.
作者简介
K. Geetha
Department of Computer Science
编辑信件的主要联系方式.
Email: geethakab@gmail.com
印度, Coimbatore, Tamilnadu, 641046
R. Vadivel
Department of Information Technology
Email: geethakab@gmail.com
印度, Coimbatore, Tamilnadu, 641046
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