References
- R. Cowie, E. Douglas-Cowei, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz, and J. G. Taylor, "Emotion Recognition in Human Computer Interaction," IEEE Signal Processing Magazine, pp. 32-80, 2001.
- D. Ververidis and C. Kotropoulos, "Emotional speech recognition: Resources, features, and methods," Speech Communication, vol. 48(9), pp. 1162-1181, 2006. https://doi.org/10.1016/j.specom.2006.04.003
- M. E. Ayadi, M. S. Kamel, and F. Karray, "Survey on speech emotion recognition: Features, classification schemes, and databases", Pattern Recognition, vol. 44, pp. 572-587, 2011. https://doi.org/10.1016/j.patcog.2010.09.020
- I. Murray, J. Arnott, "Toward the simulation of emotion in synthetic speech: A review of the literature of human vocal emotion," J. Acoust. Soc. Am, vol. 93 (2), pp. 1097-1108, 1993. https://doi.org/10.1121/1.405558
- C. E. Williams and K. N. Stevens, "Emotion and speech: Some acoustical correlates", J. Acoust. Soc. Am, vol. 52(4), pp. 1238-1250, 1972. https://doi.org/10.1121/1.1913238
- C. Gobl and A. N. Chasaide, "The role of voice quality in communicating emotion, mood and attitude", Speech Communication, vol. 40, pp. 189-212, 2003. https://doi.org/10.1016/S0167-6393(02)00082-1
- M. Goudbeek and K. Scherer, "Beyond arousal: Valence and potency/ control cues in the vocal expression of emotion", J. Acoust. Soc. Am, vol. 128, pp. 1322-1336, 2010. https://doi.org/10.1121/1.3466853
- S. Yacoub, S. Simske, X. Lin, J. Burns, "Recognition of Emotionsin Interactive Voice Response System," Proceedings of the Eurospeech 2003, Geneva, 2003.
- T. L. Nwe, S. W. Foo, and et al, "Speech emotion recognition using hidden markov models", Speech Communication, vol. 41(4), pp. 603-623, 2003. https://doi.org/10.1016/S0167-6393(03)00099-2
- M. A. Bartsch and G. H. Wakefield, "Audio thumbnailing of popular music using chroma-based representation," IEEE Transactions on Multimedia, vol. 7(1), pp. 96-104, 2005. https://doi.org/10.1109/TMM.2004.840597
- Y. E. Kim, E. M. Schmidt, R. Migneco, B. G. Morton, P. Richardson, J. Scott, J. A. Speck, and D. Turnbull, "Music emotion recognition: A state of the art review", Proc. 11th Int. Soc. Music Information Retrieval Conf.(ISMIR), pp. 255-266, 2010.
- M. Muller, F. Kurth, and M. Clausen, "Audio matching via chroma- based statistical features", Proc. 5th Int. Soc. Music Information Retrieval Conf.(ISMIR), pp. 288-295, 2005.
- T. F. Quatieri, Discrete-Time Speech Signal Processing, Prentice-Hall, NJ, 2002.
- H. Purwins, "Profiles of Pitch Classes: Circularity of Relative Pitch and Key: Experiments, Models, Computational Music Analysis, and Perspectives," Ph. D. dissertation, Berlin Univ. of Technol., Berlin, Germany, 2005.
- T. Lan, D. Erdogmus, U. Ozertem, and Y. Huang, "Estimating mutual information using Gaussian mixture model for feature ranking and selection", Proc. Int. Joint Conf. on Neural Networks, pp. 5034-5039, 2006.
- B.-S. Kang, "Text-independent emotion recognition algorithm using speech signal," M. S. Thesis, Yonsei university, Electrical and Electronic Engineering Department, 2000.
- C.-C. Chang and C.-J. Lin, "Libsvm: a library for support vector machines", ACM Transactions on Intelligent Systems and Technology, vol. 2, 27:1-26, 2011.
- P. Shen, Z. Changjun, X. CHen, "Automatic Speech Emotion Recognition using Support Vector Machine," Int. Conf. on Electronic and Mechanical Engineering and Information Technology (EMEIT), vol. 2, pp. 621-625, 2011.