Emotion recognition in spontaneous speech using GMMs

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 2, Issue , 2006, Pages 809-812

  Neiberg, Daniel ^a   Elenius, Kjell ^a   Laskowski, Kornel ^b  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER APPLICATIONS; COMPUTER SIMULATION;

ACOUSTIC FEATURES; AUTOMATIC DETECTION OF EMOTION; EMOTION CLASSIFICATION; EMOTION RECOGNITION; GAUSSIAN MIXTURE MODEL; MEL FREQUENCY CEPSTRAL CO-EFFICIENT; SPONTANEOUS SPEECH; TELEPHONE SERVICES;

SPEECH RECOGNITION;

EID: 38749103707     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Scherer, K. R., "Vocal communication of emotion: A review of research paradigms", Speech Communication, vol. 40, pp. 227-256, 2003.
2. Batliner, A., Fischer, K., Hubera, R., Spilkera, J, Nöth, E., "How to find trouble in communication", Speech Communication, vol. 40, pp. 117-143, 2003.
3. Dellaert F., Polzin T.S. and Waibel A. "Recognizing emotion in speech", ICSLP, Pittsburgh, 1996.
4. Ang J., Dhillon R., Krupski A., et al, "Prosody-based automatic detection of annoyance and frustration in human-computer dialog", ICSLP, Denver, 2002.
5. Blouin, C., and Maffiolo, V., "A study on the automatic detection and characterization of emotion in a voice service context", Interspeech, Lisbon, 469-472, 2005.
6. Oudeyer, P., "Novel Useful Features and Algorithms for the Recognition of Emotions in. Human Speech". Proceedings of the 1st Int. Conf. on Speech Prosody, 2002.
7. Batliner, A., Buckow, J., Huber, R., Warnke, V., Noth, E., and Niemann, H., "Prosodic Feature Evaluation: Brute Force or Well Designed?" In Proc. 14th Int. Congress of Phonetic Sciences, 3:2315-2318, San Francisco, 1999.
8. Chul M. L., Narayanan, S., "Toward Detecting Emotions in Spoken Dialogs". IEEE, Transactions on Speech and Audio Processing, vol 13, no 2, pp. 293-303, March, 2005.
9. Slaney, M. and McRoberts, G..,"Baby Ears: A Recognition System for Affective Vocalizations", ICASSP '98, 1998.
10. Laskowski, K. and Burger, S., "Annotation and Analysis of Emotionally Relevant Behavior in the ISL Meeting Corpus", LREC, Genoa, Italy, 2006.
11. Hermansky, H. and Morgan, N., "RASTA processing of speech", IEEE Trans. Speech and Audio Processing, vol.2, no.4, pp.578-589, 1994.
12. Ross, M., Shafer, H., Cohen, A. Freudberg, R., Manley, H., "Average magnitude difference function pitch extraction", IEEE Trans. ASSP-22, pp. 353-362, 1974.
13. Langlais, P., "Traitement de la prosodie en reconnaissance automatique de la parole", PhD-thesis, University of Avignon, France, September, 1995.
14. Gauvin, J-L and Lee, C.-H., "Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains," IEEE Trans. Speech Audio Processing, vol. 2, pp. 291-298, Apr. 1994.
15. Reynolds, D., Quatieri, T., and Dunn, R., "Speaker verification using adapted Gaussian mixture models," Digital Signal Processing, vol. 10, p. 19-41, January /April/July 2000.
16. Stoicke, A., "SRILM - An Extensible Language Modeling Toolkit", in ICSLP, Denver, Colorado, USA, 2002.
17. Syrdal, A. K., "Acoustic variability in spontaneous conversational speech of American English talkers", In ICSLP-1996, 438-441, 1996.