Performance Analysis of Human Emotion via Speech Recognition using Convolution Neural Network Algorithm compared with Hidden Markov Model Classifier for Improved Accuracy
Author:
Affiliation:
1. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Dept of CSE,Chennai,India
2. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of CSE,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406300/10406306/10407611.pdf?arnumber=10407611
Reference10 articles.
1. Machine Learning in Automatic Speech Recognition: A Survey
2. Automatic speech recognition--a brief history of the technology development;Juang;Georgia Institute of Technology. Atlanta Rutgers University and the University of California. Santa Barbara,2005
3. Analysis of CNN-based speech recognition system using raw speech as input
4. Development of Speech Recognition Systems in Emergency Call Centers
5. Study on impulsive assessment of chronic pain correlated expressions in facial images
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