Study for Burmese Speech Emotion Recognition
Author:
Affiliation:
1. University of Computer Studies, Yangon,Natural Language Processing,Yangon,Myanmar
2. Institute of Infocomm Research(I2R), Institute of Infocomm Research(I2R),Singapore,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10181239/10181325/10181375.pdf?arnumber=10181375
Reference18 articles.
1. Survey on speech emotion recognition: Features, classification schemes, and databases
2. An approach to feature selection algorithm based on Ant Colony Optimization for Automatic Speech Recognition;c poonkuzhali;International Journal of Advance Research in Electrical Electronics and Instrumentations Engineerng,2013
3. Speech Emotional Classification Using Texture Image Information Features
4. Speech and Music classification Using Hybrid Form of Spectrogram Fourier Transformation;phimoltares;Signal and Information Processing Association Annual Submit and Conference (APSIPA),2014
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