Estimating continuous-valued emotion of real-life speech

Journal of Convergence Information Technology

Volumn 6, Issue 6, 2011, Pages 308-316

  Wenjing, Han ^a   Haifeng, Li ^a   Lin, Ma ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Emotion Recognition; Real life Speech; Valence arousal Emotion Space

Indexed keywords

ELMAN RECURRENT NEURAL NETWORK; EMOTION ESTIMATION; EMOTION RECOGNITION; K-NEAREST NEIGHBORS; R SQUARE; REAL-LIFE SPEECH; REGRESSION ALGORITHMS; SPONTANEOUS SPEECH; SUPPORT VECTOR REGRESSIONS; VALENCE-AROUSAL EMOTION SPACE;

ESTIMATION; RECURRENT NEURAL NETWORKS;

SPEECH RECOGNITION;

EID: 79960010471     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol6.issue6.32     Document Type: Article

References (30)

1. http://emotion-research.net
2. Hans-Rüdiger Pfister, Gisela Böhm, "The function of concrete emotions in rational decision making", Acta Psychologica, vol. 80, pp. 199-211, 1992.
3. Laurence Vidrascu, Laurence Devillers, "Real-life emotion representation and detection in call centers data". In Processing of International Conference on Affective Computing and Intelligent Interaction, pp. 739-746, 2005.
4. Chul Min Lee, S. S. Narayanan, "Toward detecting emotions in spoken dialogs", IEEE Transactions on Speech and Audio Processing, vol.13, no2, pp. 293-303, 2005.
5. Yongjin Wang, Ling Guan, "Recognizing human emotional states from audiovisual signals", IEEE Transactions on Multimedia, vol. 10, no. 4, pp. 936-946, 2008.
6. C. J. Lim, Younghwan Pan, Jane Lee, "Human Factors and Design Issues in Multimodal (Speech/Gesture) Interface", JDCTA: International Journal of Digital Content Technology and its Applications, vol. 2, no. 1, pp. 67-77, 2008.
7. Jwu-E Chen, Lu-Tsou Yeh, Hua-Hsiang Tseng, G-W Wu and In-Hang Chung, "Development of an Emotional Robot as a Teaching Assistant", Lecture Notes in Computer Science, vol. 5670, pp. 518-523, 2009.
8. Urmila Shrawankar, Vilas Thakare, "Voice Activity Detector and Noise Trackers for Speech Recognition System in Noisy Environment", IJACT: International Journal of Advancements in Computing Technology, vol. 2, no. 4, pp. 107-114, 2010.
9. Cynthia Breazeal, "Emotion and sociable humanoid robots", International Journal of Human-Computer Studies, vol. 59, no. 1-2, pp. 119-155, 2003.
10. M. Kusahara, "The art of creating subjective reality: an analysis of Japanese digital pets", Leonardo, vol. 34, no. 4, pp. 299-302, 2001.
11. Zhongzhe Xiao, E. Dellandréa, Liming Chen and Weibei Dou, "Recognition of emotions in speech by a hierarchical approach", International Conference on Affective Computing and Intelligent Interaction, Amsterdam, the Netherlands, pp. 312-319, 2009.
12. Anestis A. Toptsis, Alexander Dubitski, "On the Affective Bias of Emotional and Physiological States", JDCTA: International Journal of Digital Content Technology and its Applications, vol. 3, no. 1, pp. 4-15, 2009.
13. R. Huber, E. Nöth, A. Batliner, J. Buckow, V. Warnke, H. Niemann, "You BEEP Machine-Emotion in Automatic speech understanding systems", In Processing of First Workshop on Text, Speech, Dialogue, pp. 223-228, 1998.
14. Jeong-Sik Park, Ji-Hwan Kim, Yung-Hwan Oh, "Feature vector classification based speech emotion recognition for service robots", IEEE Transactions on Consumer Electronics, vol. 55, no. 3, pp. 1590-1596, 2009.
15. F. Dellaert, T. Polzin and A. Waibel, "Recognizing emotion in speech", In Processing of ICSLP, Philadelphia, pp. 1970-1973, 1996.
16. Hao Hu, Ming-Xing Xu, Wei Wu, "GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition", IEEE International Conference on Acoustics, Speech and Signal Processing, pp. IV-413-IV-416, 2007.
17. Jianhua Tao, Ya Li, Shifeng Pan, "A multiple perception model on emotional speech", 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, pp. 1-6, 2009.
18. Michael Grimm, Kristian Kroschel, Shrikanth Narayanan, "Support vector regression for automatic recognition of spontaneous emotions in speech", IEEE International Conference on Acoustics, Speech and Signal Processing, pp. IV-1085-IV-1088, 2007.
19. T. Giannakopoulos, A. Pikrakis, S. Theodoridis, "A dimensional approach to emotion recognition of speech from movies", IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 65-68, 2009.
20. Florian Eyben, Martin Wöllmer, Alex Graves, Bjorn Schuller, Ellen Douglas-Cowie and Roddy Cowie, "On-line Emotion Recognition in a 3-D Activation-Valence-Time Continuum using Acoustic and Linguistic Cues", Journal on Multimodal User Interfaces, Springer, Berlin/Heidelberg, vol. 3, no. 1-2, 7-7, pp. 7-12, 2010.
21. R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kolloas, W. Fellenz and J. G. Taylor, "Emotion recognition in human-computer interaction", IEEE Signal Processing Magazine, vol. 18, no. 1, pp. 32-80, 2001.
22. Y. Yang, H. Chen, "Ranking-Based Emotion Recognition for Music Organization and Retrieval", IEEE Transactions on Audio, Speech, and Language Processing, vol. PP (99), pp. 1-1, 2010.
23. Dongrui Wu, Thomas D. Parsons, Shrikanth S. Narayanan, "Acoustic Feature Analysis in Speech Emotion Primitives Estimation", In Proceedings of Inter Speech, pp. 785-788, 2010.
24. Laurence Devillers, Laurence Vidrascu, "Real-life Emotion Recognition in Speech". In: Speaker Classification II. Lecture Notes in Computer Science, vol. 4441, pp. 34-42, 2007.
25. Paul Boersma, David Weenink, "Praat: doing phonetics by computer (version 5.1.43)", 4 http://www.praat.org/, 2010.
26. Steve Young, Gunnar Evermann, Thomas Hain, The HTK Book (for HTK Version 3.2.1), Department of Engineering, Cambridge University, UK, 2000.
27. K. Kroschel, Statistische informations theories, Springer Verlag Berlin, 4, edition, 2004.
28. http://www.csie.ntu.edu.tw/-cjlin/libsvm
29. Bard Warner, Manavendra Misa, "Understanding Neural Networks as Statistical Tools", The American Statistician, vol. 50, pp. 284-293, 1996.
30. J. L. Elman, "Finding Structure in Time", Cognitive Science, vol. 14, 179-211, 1990.