Abstract
An emotion recognition system based on BP neural network to recognize special human affective states existed in the speech signal is presented in this paper. About 600 short sentences with different contents in different emotional speeches from 4 speakers are collected for training and testing the feasibility of the system. The energy, pitch and speech rate characteristics are extracted from these speech signals. angry, calm, happy, sad, and surprise as the 5 typical emotions are classified with BP Neural network. In order to update automatically the emotion recognition system with time, an additional study step, just as the feed-back control, is adopted to train the finished network again according to the output. The experiments show that the system is of satisfactory emotion detection performance for some emotions.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bhatti, M.W., Wang, Y., Guan, L.: A Neural Network Approach for Human Emotion Recognition in Speech. In: Proceedings of the 2004 International Symposium on Circuits and Systems, pp. 181–184 (2004)
Murry, I.R., Arnott, J.L.: Applying an Analysis of Acted Vocal Emotions to Improve the Simulation of Synthetic Speech. Computer Speech and Lauguage, 107–129 (2008)
Nicholson, J., Takahashi, K., Nakatsu, R.: Emotion Recognition in Speech Using Neural Networks. Neural Computing & Applications, 290–296 (2000)
Zhongzhe, X., Dellandrea, E., Weibei, D., et al.: Features Extraction and Selection for Emotional Speech Classification. In: Conference on Advanced Video and Signal Based Surveillance, pp. 411–416 (2005)
Temko, A., Nadeu, C.: Classification of Acoustic Events Using SVM-based Clustering Schemes. Patttern Recognition, 682–694 (2006)
Fragopanagos, N., Taylor, J.G.: Emotion Recognition in Human-Computer Interaction. Neural Networks, 389–405 (2005)
Jiang, X.Q., Tain, L., Han, M.: Seperability and Recognition of Emotion States in Multilingual Speech. In: Proceedings on Communications, Ciruites and Systems, pp. 861–864 (2005)
Amir, N.: Classifying Emotions in Speech: a Comparison of Methods. In: EUROSPEECH 2001 Sandinavia 7th European Conference on Speech Communication and Technology 2th Interspeech Even, pp. 127–130 (2001)
Ververidis, D., Kotrropoulos, C.: Emotional Speech Recognition: Resource, Features, and Methods. Speech Communication, 1162–1181 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, G., Song, Q., Fei, S. (2008). Speech Emotion Recognition System Based on BP Neural Network in Matlab Environment. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_91
Download citation
DOI: https://doi.org/10.1007/978-3-540-87734-9_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87733-2
Online ISBN: 978-3-540-87734-9
eBook Packages: Computer ScienceComputer Science (R0)