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Journal Articles
- 2017
[j2]D. Pravena, D. Govind
:
Development of simulated emotion speech database for excitation source analysis. Int. J. Speech Technol. 20(2): 327-338 (2017)- [j1]D. Pravena, D. Govind:
Significance of incorporating excitation source parameters for improved emotion recognition from speech and electroglottographic signals. Int. J. Speech Technol. 20(4): 787-797 (2017)
Conference and Workshop Papers
- 2017
- [c6]Athira Chandran, D. Pravena, D. Govind:
Development of speech emotion recognition system using deep belief networks in malayalam language. ICACCI 2017: 676-680 - [c5]A. Pooja, D. Pravena, D. Govind:
Significance of exploring pitch only features for the recognition of spontaneous emotions from speech signals. ICACCI 2017: 1438-1442 - [c4]M. Aiswarya, D. Pravena, D. Govind:
Identifying Issues in Estimating Parameters from Speech Under Lombard Effect. SIRS 2017: 252-262 - [c3]S. G. Ajay, D. Pravena, D. Govind, D. Pradeep:
Exploring the Significance of Low Frequency Regions in Electroglottographic Signals for Emotion Recognition. SIRS 2017: 319-327 - [c2]M. Srikanth, D. Pravena, D. Govind:
Tamil Speech Emotion Recognition Using Deep Belief Network(DBN). SIRS 2017: 328-336 - 2015
- [c1]D. Govind, R. Vishnu, D. Pravena:
Improved method for epoch estimation in telephonic speech signals using zero frequency filtering. ICSIPA 2015: 11-15
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