Syllable Segmentation of Tamil Speech Signals Using Vowel Onset Point and Spectral Transition Measure
- Авторы: Geetha K.1, Vadivel R.2
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Учреждения:
- Department of Computer Science
- Department of Information Technology
- Выпуск: Том 52, № 1 (2018)
- Страницы: 25-31
- Раздел: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175442
- DOI: https://doi.org/10.3103/S0146411618010042
- ID: 175442
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Аннотация
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.
Об авторах
K. Geetha
Department of Computer Science
Автор, ответственный за переписку.
Email: geethakab@gmail.com
Индия, Coimbatore, Tamilnadu, 641046
R. Vadivel
Department of Information Technology
Email: geethakab@gmail.com
Индия, Coimbatore, Tamilnadu, 641046
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