On the influence of phonetic content variation for acoustic emotion recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5078 LNCS, Issue , 2008, Pages 217-220

  Vlasenko, Bogdan ^a   Schuller, Björn ^b   Wendemuth, Andreas ^a   Rigoll, Gerhard ^b  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; FACE RECOGNITION; LINGUISTICS; SPEECH PROCESSING; SPEECH RECOGNITION; TECHNOLOGY;

ACOUSTIC MODELLING; CONTENT VARIATION; EMOTION MODELS; EMOTION RECOGNITION; EMOTIONAL SPEECH; INTERACTIVE TECHNOLOGIES; MULTIMODAL DIALOGUE SYSTEMS; PHONETIC STRUCTURE; SPEECH-BASED SYSTEMS; WORD LEVEL; WORD MODELING;

SPEECH;

EID: 48249126771     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69369-7_24     Document Type: Conference Paper

References (8)

1. Batliner, A., Steidl, S., Schuller, B., Seppi, D., Laskowski, K., Vogt, T., Devillers, L., Vidrascu, L., Amir, N., Kessous, L., Aharonson, V.: Combining Efforts for Improving Automatic Classification of Emotional User States. In: Proc. 1st Int. Language Technologies Conference IS-LTC 2006, Ljubljana, Slovenia (2006)
2. Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W., Weiss, B.: A Database of German Emotional Speech. In: Proc. INTERSPEECH 2005, pp. 1517-1520 (2005)
3. Hansen, J.H.L., Bou-Ghazale, S.: Getting Started with SUSAS: A Speech Under Simulated and Actual Stress Database. In: Proc. EUROSPEECH 1997, Rhodes, Greece, vol. 4, pp. 1743-1746 (1997)
4. Schuller, B., Rigoll, G.: Timing Levels in Segment-Based Speech Emotion Recognition. In: Proc. INTERSPEECH 2006, pp. 1818-1821 (2006)
5. Schuller, B., Vlasenko, B., Minguez, R., Rigoll, G., Wendemuth, A.: Comparing One and Two-Stage Acoustic Modeling in the Recognition of Emotion in Speech IEEE ASRU 2007, pp. 596-600 (2007)
6. Vlasenko, B., Schuller, B., Wendemuth, A., Rigoll, G.: Combining Frame and Turn-Level Information for Robust Recognition of Emotions within Speech 2007. In: Proc. INTERSPEECH 2007, pp. 2225-2228 (2007)
7. Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools with Java implementations, p. 133. Morgan Kaufmann, San Francisco (2000)
8. Young, S., Evermann, G., Kershaw, D., Moore, G., Odell, J., Ollason, D., Povey, D., Valtchev, V., Woodland, P.: The HTK-Book 3.2. Cambridge University Press, Cambridge (2002)