Speech Emotion Recognition using GFCC and BPNN

Speech Emotion Recognition using GFCC and BPNN

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-18 Number-7
Year of Publication : 2014
Authors : Shaveta Sharma , Parminder Singh
DOI :  10.14445/22315381/IJETT-V18P265

Citation 

Shaveta Sharma , Parminder Singh "Speech Emotion Recognition using GFCC and BPNN", International Journal of Engineering Trends and Technology (IJETT), V18(6),321-322 Dec 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

From the past years, researchers have showed a very interest in the speech recognition systems based on the emotions. Mainly the research has been done with the aim to bring closer both human and computer with each other by recognizing mood swings. In the recognizing process we must know how to represent the emotions on the basis of some features like sad, happy etc. When the verbal content is well recognized on the speaker’s emotion, a promising enhancement of such systems would come. So recognition in speech is a crucial step. In the proposed work speech emotions will be recognized using hybridization of GFCC (Gammatone Frequency Cepstral Coefficients) and BPNN (Back Propagation Neural Network). The whole simulation will be done in the MATLAB environment to check the comparison result.

References

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Keywords
Back Propagation Neural Network, GFCC, Speech Recognition, Emotions.