Improving automatic emotion recognition from speech via gender differentiation

Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2006

Volumn , Issue , 2006, Pages 1123-1126

  Vogt, Thurid ^a,b   André, Elisabeth ^a  

^a UNIVERSITY OF AUGSBURG   (Germany)

^b BIELEFELD UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; SOCIAL SCIENCES; SPEECH ANALYSIS;

AUTOMATIC EMOTION RECOGNITION; EMOTION RECOGNITION; EMOTIONAL SPEECH; GENDER DETECTION; RECOGNITION OF EMOTION; WIZARD OF OZ;

SPEECH RECOGNITION;

EID: 85034230784     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. W.H. Abdulla and N.K. Kasabov. 2001. Improving speech recognition performance through gender separation. In Proceedings of ANNES, pages 218-222.
2. A. Batliner, K. Fischer, R. Huber, J. Spilker, and E. Nöth. 2003a. How to find trouble in communication. Speech Communication, 40:117-143.
3. A. Batliner, V. Zeißler, C. Frank, J. Adelhardt, R. P. Shi, and E. Nöth. 2003b. We are not amused - but how do you know? User states in a multi-modal dialogue system. In Proceedings of EUROSPEECH, pages 733-736, Geneva.
4. F. Burkhardt, A. Paeschke, M. Rolfes, W. Sendlmeier, and Benjamin Weiss. 2005. A database of german emotional speech. In Proceedings Interspeech, Lissabon, Portugal.
5. D. Küstner, R. Tato, T. Kemp, and B. Meffert. 2004. Towards real life applications in emotion recognition. In Workshop on Affective Dialogue Systems, pages 25-35, Kloster Irsee, Germany.
6. C. M. Lee and S. S. Narayanan. 2005. Toward detecting emotions in spoken dialogs. IEEE Transactions on Speech and Audio Processing, 13(2):293-303, March.
7. P.-Y. Oudeyer. 2003. The production and recognition of emotions in speech: features and algorithms. International Journal of Human-Computer Studies, 59(1-2):157-183.
8. S. Steininger, F. Schiel, O. Dioubina, and S. Raubold. 2002. Development of user-state conventions for the multimodal corpus in SmartKom. In Proceedings Workshop on Multimodal Resources and Multimodal Systems Evaluation, pages 33-37, Las Palmas.
9. D. Ververidis and C. Kotropoulos. 2004. Automatic speech classification to five emotional states based on gender information. In Proc. 12th European Signal Processing Conference, pages pp. 341-344, Vienna, September.
10. T. Vogt and E. André. 2005. Comparing feature sets for acted and spontaneous speech in view of automatic emotion recognition. In Proceedings of ICME, Amsterdam.
11. I. H. Witten and E. Frank. 2000. Data Mining: Practical machine learning tools with Java implementations. Morgan Kaufmann, San Francisco.