Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition

2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Volumn , Issue , 2008, Pages 1333-1336

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

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Acoustic modeling; Affective speech; Emotion recognition; Word models

Indexed keywords

ACOUSTICS; EXHIBITIONS; FACE RECOGNITION; LINGUISTICS; SPEECH; SUPPORT VECTOR MACHINES;

ACOUSTIC; ACOUSTIC EMOTION RECOGNITIONS; ACOUSTIC MODELING; ACOUSTIC MODELS; AFFECTIVE SPEECH; EMOTION MODELS; EMOTION RECOGNITION; EMOTION RECOGNITIONS; GENERAL MODELS; PHONETIC STRUCTURES; SPECTRAL; SUPPORT VECTORS; TRAINING CORPORA; VOICE QUALITY FEATURES; WORD MODELS;

SPEECH RECOGNITION;

EID: 54049132987     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2008.4607689     Document Type: Conference Paper

References (12)

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," Proc. IS-LTC 2006, Ljubljana, Slovenia, 2006.
2. Polzin, T.S.; Waibel, A.: "Detecting emotions in speech", Proc. Cooperative Multimodal Communication, 2nd Int. Conf. 98, 1998.
3. Schuller, B.; Rigoll, G.; Lang, M.: "Hidden Markov Model-Based Speech Emotion Recognition," Proc. ICASSP 2003, IEEE, Vol. II, pp. 1-4, Hong Kong, China, 2003.
4. Lee Z; Zhao Y.: "Recognizing emotions in speech using shortterm and long-term features", Proc. ICSLP, pp. 2255-2558, 1998.
5. Jiang, D. N.; Cai, L.-H.: "Speech emotion classification with the combination of statistic features and temporal features," Proc. ICME 2004, IEEE, Taipei, Taiwan, pp. 1967-1971, 2004.
6. Murray L.R.; Arnot, I.L.: "Toward the simulation of emotion in synthetic speech: A review of the literature of humans vocal emotion," JASA, Vol. 93, issue 2, pp. 1097-1108, 1993.
7. Schuller, B.; Rigoll, G.: "Timing Levels in Segment-Based Speech Emotion Recognition," Proc. INTERSPEECH 2006, ICSLP, ISCA, pp. 1818-1821, Pittsburgh, PA, 2006.
8. Schuller, B.; Seppi, D.; Batliner, A.; Maier, A.; Steidl, S.: "Towards More Reality in the Recognition of Emotional Speech," Proc. ICASSP, Vol. IV, pp. 941-944, Honolulu, Hawaii, 2007.
9. Burkhardt, F.; Paeschke, A.; Rolfes, M.; Sendlmeier, W.; Weiss, B.: "A Database of German Emotional Speech," Proc. INTERSPEECH, ISCA, Lisbon, Portugal, pp. 1517-1520, 2005.
10. Young, S.; Evermann, G.; Kershaw, D.; Moore, G.; Odell, J.; Ollason, D.; Povey, D.; Valtchev, V.; Woodland, P.: The HTKBook 3.2, Cambridge University, Cambridge, England, 2002.
11. Witten, I.H.; Frank, E.: Data Mining: Practical machine learning tools with Java implementations, Morgan Kaufmann, San Francisco, pp. 133, 2000.
12. Young, S.; Russel, N.; Thornton, J.; "Token Passing: a Simple Conceptual Model for Connected Speech Recognition Systems", Cambridge University Engineering Department. July 1989.