D. Pravena

According to our database, D. Pravena authored at least 8 papers between 2015 and 2017.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2017

Significance of incorporating excitation source parameters for improved emotion recognition from speech and electroglottographic signals.

D. Pravena, D. Govind

Int. J. Speech Technol., 2017

Development of simulated emotion speech database for excitation source analysis.

D. Pravena, D. Govind

Int. J. Speech Technol., 2017

Tamil Speech Emotion Recognition Using Deep Belief Network(DBN).

M. Srikanth, D. Pravena, D. Govind

Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2017

Exploring the Significance of Low Frequency Regions in Electroglottographic Signals for Emotion Recognition.

S. G. Ajay, D. Pravena, D. Govind, D. Pradeep

Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2017

Identifying Issues in Estimating Parameters from Speech Under Lombard Effect.

M. Aiswarya, D. Pravena, D. Govind

Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2017

Significance of exploring pitch only features for the recognition of spontaneous emotions from speech signals.

A. Pooja, D. Pravena, D. Govind

Proceedings of the 2017 International Conference on Advances in Computing, 2017

Development of speech emotion recognition system using deep belief networks in malayalam language.

Athira Chandran, D. Pravena, D. Govind

Proceedings of the 2017 International Conference on Advances in Computing, 2017

2015

Improved method for epoch estimation in telephonic speech signals using zero frequency filtering.

D. Govind, R. Vishnu, D. Pravena

Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015