Comparison of several classifiers for emotion recognition from noisy mandarin speech

Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.

Volumn 1, Issue , 2007, Pages 23-26

  Pao, Isang Long ^a   Liao, Wen Yuan ^a   Chen, Yu Te ^a   Yeh, Jun Heng ^a   Cheng, Yun Maw ^a   Chien, Charles S ^b  

^a TATUNG UNIVERSITY   (Taiwan)

^b FENG CHIA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC FEATURES; AUTOMATIC RECOGNITION; CLEAN SPEECH; EMOTION RECOGNITION; EMOTIONAL SPEECH; EMOTIONAL STATES; FEATURE SELECTION (FS); INFORMATION HIDING; INTERNATIONAL (CO); INTERNATIONAL CONFERENCES; MULTIMEDIA SIGNAL PROCESSING; NOISY SPEECH;

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; FACE RECOGNITION; LEARNING SYSTEMS; SIGNAL PROCESSING; SPEECH; SPEECH ANALYSIS;

SPEECH RECOGNITION;

EID: 47349111696     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IIHMSP.2007.4457484     Document Type: Conference Paper

References (9)

1. R. Huang, and C. Ma, "Toward a Speaker-Independent Real-Time Affect Detection System", Vol. 1, the 18th International Conference on Pattern Recognition, 2006, pp. 1204-1207.
2. M. Song, J. Bu, C. Chen, and N. Li, "Audio-visual based emotion recognition - a new approach", Proc. IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, June 2004, pp. 1020-1025.
3. Z. Zeng, Z. Zhang, B. Pianfetti, J. Tu, and T. S. Huang, "Audio-visual affect recognition in activationevaluation space", Proc. IEEE International Conference on Multimedia and Expo, July 2005, pp. 828-831.
4. T. Bänziger and K.R. Scherer, "The Role of Intonation in Emotional Expressions", Speech Communication, Vol. 46, 2005, pp. 252-267.
5. R.S. Tato, R. Kompe, and J.M. Pardo, "Emotional space Improves Emotion Recognition", In Proceedings of International Conference on spoken Language Processing, 2002, pp. 2029-2032.
6. Chang, Y.H, "Emotion Recognition and Evaluation of Mandarin Speech Using Weighted D-KNN Classification", Conference on Computational Linguistics and Speech Processing XVII (ROCLING XVII), 2005, pp. 96-105.
7. E. Robert, and A. Granat, "A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets", International Conference on Computational Science, 2003, pp. 892-901.
8. Kwon, O.W., Chan, K., Hao, J., and Lee, T.W., "Emotion Recognition by Speech Signals", Proceedings of EUROSPEECH, 2003, pp. 125-128.
9. Neiberg, D., Elenius, K., and Laskowski, K., "Emotion Recognition in Spontaneous Speech Using GMMs", In Proc. of Interspeech 2006. Pittsburg, 2006, pp.809-812.