D. Pravena - researchr alias

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Viewing Publication 1 - 8 from 8

2017

Identifying Issues in Estimating Parameters from Speech Under Lombard EffectM. Aiswarya, D. Pravena, D. Govind. sirs 2018: 252-262 [doi]

Exploring the Significance of Low Frequency Regions in Electroglottographic Signals for Emotion RecognitionS. G. Ajay, D. Pravena, D. Govind, D. Pradeep. sirs 2018: 319-327 [doi]

Development of speech emotion recognition system using deep belief networks in malayalam languageAthira Chandran, D. Pravena, D. Govind. icacci 2017: 676-680 [doi]

Significance of exploring pitch only features for the recognition of spontaneous emotions from speech signalsA. Pooja, D. Pravena, D. Govind. icacci 2017: 1438-1442 [doi]

Significance of incorporating excitation source parameters for improved emotion recognition from speech and electroglottographic signalsD. Pravena, D. Govind. ijst, 20(4):787-797, 2017. [doi]

Development of simulated emotion speech database for excitation source analysisD. Pravena, D. Govind. ijst, 20(2):327-338, 2017. [doi]

Tamil Speech Emotion Recognition Using Deep Belief Network(DBN)M. Srikanth, D. Pravena, D. Govind. sirs 2018: 328-336 [doi]

2015

Improved method for epoch estimation in telephonic speech signals using zero frequency filteringD. Govind, R. Vishnu, D. Pravena. icsipa 2015: 11-15 [doi]

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