Back Propagation Neural Network based Emotion Recognition System

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2015 by IJETT Journal
Volume-22 Number-4
Year of Publication : 2015
Authors : Rohit Katyal
DOI :  10.14445/22315381/IJETT-V22P231


Rohit Katyal"Back Propagation Neural Network based Emotion Recognition System", International Journal of Engineering Trends and Technology (IJETT), V22(4),148-152 April 2015. ISSN:2231-5381. published by seventh sense research group

Emotion recognition with speech has now a day’s getting attention of engineers in field of pattern recognition and speech signal processing. As computers is one of the important part now a days, so the requirement for communication between computer and humans. Through voice signals Automatic emotion recognition recognise the emotional state of the speaker. In humans life emotions plays a vital role. This paper focuses on the e motion recognition process by including feature extraction of the speech signals and then classification process with BPNN Classifier. In this system, a database of 500 speech signals are used to train and test the system which are of different categories like happy, sad, aggressive and fear. Classification process is depending on different extracted features like Maximum Frequency, Average Frequency, Minimum Frequency, Roll off, Pitch, and Loudness from a speech sample. The classification accuracy achieved by this system varies from 85 to 95 percent.


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BPNN, Emotion Recognition, Speech Recognition