Acoustic features extraction for emotion recognition

Proceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007

Volumn , Issue , 2007, Pages 419-424

  Rong, Jia ^a   Chen, Yi Ping Phoebe ^a   Chowdhury, Morshed ^a   Li, Gang ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

Decision tree; Ensemble learning; Feature extraction; Machine learning; Random forest; Twice learning

Indexed keywords

ACOUSTICS; BOOLEAN FUNCTIONS; COMMUNICATION; CYBERNETICS; DATA PROCESSING; DATA STRUCTURES; DECISION MAKING; DECISION THEORY; DECISION TREES; EXTRACTION; FACE RECOGNITION; FEATURE EXTRACTION; INDUSTRIAL RESEARCH; INFORMATION MANAGEMENT; INFORMATION SCIENCE; KETONES; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHMS; PHOTOACOUSTIC EFFECT; SPEECH; SPEECH RECOGNITION;

ACOUSTIC FEATURES; APPLIED (CO); C4.5 ALGORITHM; DATA PRE-PROCESSING; DATA SETS; EMOTION RECOGNITION; EMOTIONAL RECOGNITION; EMOTIONAL SPEECH; ENSEMBLE LEARNING; HIGH-DIMENSION DATA; HUMAN EMOTION RECOGNITION; INTERNATIONAL (CO); INTERNATIONAL CONFERENCES; RANDOM FORESTS; RE SEARCH GROUP; SINGLE DECISION; SPEECH SIGNALS; SPOKEN LANGUAGE PROCESSING; SYNTHESIS (OF CHIRAL IONIC LIQUIDS);

TREES (MATHEMATICS);

EID: 46749083393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIS.2007.48     Document Type: Conference Paper

References (37)

1. M. Pantic and L. J. M. Rothkrantz. Toward an affect-sensitive multi-modal human-computer interaction. PROCEEDINGS OF THE IEEE, 91(9), 2003.
2. J.R. Davitz. Personality, perceptual, and cognitive correlates of emotional sensitivity, in The Communication of Emotional Meaning, 1964.
3. I. Fónagy. A new method of investigating the perception of prosodic features. Lang. Speech, 21, 1978.
4. C.E. Williams and K.N. Stevens. On determining the emotional state of pilots during flight: An exploratory study. Aerospace Medicine, 40, 1969.
5. R. Coleman and R. Williams. Identification of emotional states using perceptual and acoustic analyses. Care of the Professional Voice, 1, 1979.
6. R. Van Bezooijen. Characteristics and Reognizability of Vocal Expressions of Emotions. Dordrecht, The Netherlands: Foris, 1984.
7. G. Fairbanks and W. Pronovost. An experimental study of te pitch characteristics of the voice during the expression of emotion. Speech Monograph, 6, 1939.
8. W. L. Hoffe. On the relation between speech melody and intensity. Phonetica, 5, 1960.
9. Z. Havrdova and M. Moravek. Changes of the voice expression during suggestively influenced states of experiencing. Activitas Nervosa Superior, 21, 1979.
10. I. Fónagy and K. Magdics. Emotional patterns in intonation and music. A. Phonet. Sprachwiss. Kommunikationsforsch., 16, 1963.
11. K. Sedlacek and A. Syhra. Speech melody as a means of emotional expression. Folia Phoniatrica, 15, 1963.
12. G. Kotlyar and V. Mozorov. Acoustic correlates of the emotional content of vocalized speech. J. Acoust. Academy of Sciences of the USSR, 22, 1976.
13. G.L. Huttar. Relations between prosodic variables and emotions in normal american english utterances. J. Speech and Hearing Research, 11, 1968.
14. D. Crystal. The English Tone of Voice. Edward Arnold, London, UK, 1975.
15. N. Tsapatsoulis G. votsis S. Kollias W. Fellenz R. Cowie, E. Douglas-Cowie and J. Taylor. Emotion recognition in human-computer interaction. IEEE, 18(1):32-80, Jan 2001.
16. C.E. Williams and K.N. Stevens. Emotions and speech: Some acoustical correlates. J. Acoust. Soc. Am, 52, 1972.
17. J. SuIc. Emotional changes in human voice. Activitas Nervosa Superior, 19, 1977.
18. K. Scherer W. Johnson, R. Emde and M. Klinnert. Recognition of emotion from vocal cues. Arch. Gen. Psych., 43, 1986.
19. T. Polzin F. Dellaert and A. Waibel. Recognizing emotion in speech. ICSLP, 1996.
20. V.A. Petrushin. Emotion recognition in speech signal: Experimental study, development, and application. ICSLP, 2000.
21. N. Amir. Classifying emotions in speech: A comparison of methods. EUROSPEECH, 2001.
22. S. Narayanan C.M. Lee and R. Pieraccini. Recognition of negative emotions from the speech signal. IEEE Automatic Speech Recognition and Understanding Workshop, 2001.
23. C. Chen M. Song, J. Bu and N. Li. Audio-visual based emotion recognition-a new approach. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPRÓ4), (1063-6919/04), 2004.
24. M. Bulut C.M. Lee, S. Yildirim and A. Kazemzadeh. Emotion recognition based on phoneme classes. IEEE, 2005.
25. Z.H. Zhou. Mining extremely small data set on software reuse. 2004.
26. S. Tomkins. Affect, imagery, consciousness springer publishing company. 1962.
27. R. Cowie S. McGilloway and E.D. Cowie. Prosodic signs of emotion in speech: Preliminary results from a new technique for automated statistical ananlysis. ICPhS 95, 3, 1995.
28. K. Takahashi J. Nicholson and R. Nakatsu. Emotion recognition in speech using neural networks. IEEE, (0-7803-5871-6/99), 1999.
29. F.S. Wei T.L. Nwe and L.C. De Silva. Speech based emotion classification. IEEE, 2001.
30. G. Rigoll B. Schuller and M. Lang. Hidden markov model-based speech emotion recognition. ICASSP, IEEE, 11:1-4, 2003.
31. J. Hao O. Kwon, K. Chan and T. Lee. Emotion recognition by speech signal. Eurospeech, Sep 2003.
32. Z. Wang L. Zhao L. Cai, C. Jiang and C. Zou. A method combining the global and time series structure features for emotion recognition in speech. IEEE Int. Conf. Neural Networks and Signal Processing, (0-7803-7702-8/03), 2003.
33. C.H. Park and K.B. Sim. Emotion recognition and acoustic analysis from speech signal. IEEE, (0-7803-7898-9/03), 2003.
34. Y. Wang M.W. Bhatti and L. Guan. A neural network approach for human emotion recognition in speech. IEEE International Symposium on Circuits and Systems, 2003.
35. E.H. Kim K.H. Hyun and Y.K. Kwak. Improvement of emotion recognition by bayesian classifier using non-zero-pitch concept. IEEE International Workshop on Robots and Human Interactive Communication, (0-7803-9275-2/05), 2005.
36. D. Litman and K. Forbes-Reley. Recognizing emotion from student speech in tutoring dialogues. ASRU-IEEE Automatic Speech Recognition and Understanding Workshop, 2003.
37. C.M. Lee and S. Narayanan. Emotion recognition using a data-driven fuzzy inference system. 2003.