[1] Nicholson, J., Takahashi, K., and Nakatsu, M., "Emotion Recognition in Speech using Neural Networks", Neural Computation, Vol. 1, pp. 9290–9296, (2000).
[2] Cowie, E., Campbell, N., Cowie, R., and Roach, P., "Emotional Speech: Towards a New Generation of Data Bases Original Research Article", Speech Communication, Vol. 40, pp. 33-60, (2003).
[3] Banse, R., and Scherer, K., "Acoustic Profiles in Vocal Emotion Expression", J. Pers. Soc. Psychol. Vol. 70, No. 3, pp. 614–636, (1996).
[4] Hozjan, V., and Kacic, Z., "Context-independent Multi Lingual Emotion Recognition from Speech Signal", Int. J. Speech Technol, Vol. 6, pp. 311–320, (2003).
[5] Kleinginna, Jr., and Kleinginna, A.M., "A Categorized List of Emotion Definitions, with Suggestions for a Consensual Definition", Motivation Emotion, Vol. 5, No. 4, pp. 345–379, (1981).
[6] Fernandez, R., "A Computational Model for the Automatic Recognition of Affect in Speech", Ph.D. Thesis, Massachusetts Institute of Technology, MIT Media Arts and Science, February, (2004).
[7] Bradley, M. M., and Lang, P. J., "Measuring Emotion: The Self-assessment Manikin and the Semantic Differential", Journal of Behavior Therapy & Experimental Psychiatry, Vol. 25, No. 1, pp. 49-59, (1990).
[8] Schubiger, M., "English in to Nation: its form and Function", Niemeyer, Tubingen, Germany, (1958).
[9] O’Connor, J., and Arnold, G., "Intonation of Colloquial English", Seconded. Longman, London, UK, (1973).
[10] Kim, D.H., "Fuzzy Rule Based Voice Emotion Control for user Demand Speech Generation of Emotion Robot", Computer Applications Technology (ICCAT), Germany, (2013).
[11] Sudhkar, R., “Analysis of Speech Features for Emotion Detection: A Review”, International Conference on Computing Communication Control and Automation, Germany, (2015).
[12] Gharsellaoui, S., Selouani, S., and Dahmane, A., "Automatic Emotion Recognition using Auditory and Prosodic Indicative Features",Proceeding of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, Halifax, Canada, (2015).
[13] Bosse, T., and Zwanenburg, E.," There's Always Hope: Enhancing Agent Believability Through Expectation-based Emotions", ACII 2009, 3rd International Conference, Amsterdam, Netherlands, pp. 1–8, (2009).
[14] Hudlicka, E., and Broekens, J., "Foundations for Modeling Emotions in Game Characters: Modelling Emotion Effects on Cognition", ACII 2009, 3rd International Conference, (2009).
[15] Castellano, G., Leite, I., Pereira, A., Martinho, C., Paiva, A., and McOwan, Peter, W., "It's All in the Game: Towards an Affect Sensitive and Context Aware Game Companion", ACII 2009, 3rd International Conference, Amsterdam, Netherlands, pp. 1–8, (2009).
[16] Ling, He., Lech, M., Maddage, N., and Allen, N., "Emotion Recognition in Speech of Parents of Depressed Adolescents", Bioinformatics and Biomedical Engineering, ICBBE 2009, 3rd International Conference, Beijing, China, pp. 1–4, June (2009).
[17] Ververidis, D., Constantine, K., "Automatic Speech Classification to Five Emotional States Based on Gender Information", Signal Processing Conference, 12th European, pp. 341-344, (2004).
[18] Morrison, D., Wang, R., and Silva, L., "Ensemble Methods for Spoken Emotion Recognition in Call-centres Original Research Article", Speech Communication, Vol. 49, No. 2, pp. 98-112, (2007).
[19] Pao, T.L., Liao, V.Y., Chen, Y.T., and Yeh, J.H, "Comparison of Several Classifiers for Emotion Recognition from Noisy Mandarin Speech", Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Kaohsiung City, Taiwan, November 26-28, pp. 21-26, (2007).
[20] Yang, X.S., "A New Metaheuristic Bat-inspired Algorithm", Nature Inspired Cooperative Strategies for Optimization (NICSO), Studies in Computational Intelligence, Vol. 284, pp. 65-74, (2010).
[21] Khan, K., and Sahai, A., "A Comparison of BA, GA, PSO, BP and LM for Training Feed forward Neural Networks in E-Learning Context", I.J. Intelligent Systems and Applications, Vol. 7, pp. 23-29, (2012).
[22] Kuncheva, L.I., "Combining Pattern Classifiers: Methods and Algorithms", John Wiley & Sons, (2004).
[23] Krogh, A., and Vedelsby, J., "Neural Network Ensembles, Cross Validation and Active Learning", Advances in Neural Information Processing Systems, Vol. 7, pp. 85-91, (1995).
[24] Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W., and Weiss, B., "A Database of German Emotional Speech", Proceedings Inter Speech, Lissabon, Portugal, (2005).
[25] Mervi, H., and Esmailian, Z., "Showing up New Data Base for Detect Emotion from Speech", (2013).
[26] Esmailian, Z., and Marvi, H., "Recognition of Emotion in Speech using Variogram Based Features", Malaysian Journal of Computer Science, Vol. 27, No. 3, pp. 21-27, (2014).
[27] Ayadi, M., Kamel, M.S., and Karray, F., "Speech Emotion Recognition using Gaussian Mixture Vector Autoregressive Models", IEEE, (2007).
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