Syllable Segmentation of Tamil Speech Signals Using Vowel Onset Point and Spectral Transition Measure
- Авторлар: Geetha K.1, Vadivel R.2
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Мекемелер:
- Department of Computer Science
- Department of Information Technology
- Шығарылым: Том 52, № 1 (2018)
- Беттер: 25-31
- Бөлім: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175442
- DOI: https://doi.org/10.3103/S0146411618010042
- ID: 175442
Дәйексөз келтіру
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.
Авторлар туралы
K. Geetha
Department of Computer Science
Хат алмасуға жауапты Автор.
Email: geethakab@gmail.com
Үндістан, Coimbatore, Tamilnadu, 641046
R. Vadivel
Department of Information Technology
Email: geethakab@gmail.com
Үндістан, Coimbatore, Tamilnadu, 641046
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