Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 5230-5233

  Schuller, Björn ^a   Metze, Florian ^b   Steidl, Stefan ^c   Batliner, Anton ^c   Eyben, Florian ^a   Polzehl, Tim ^d  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b Carnegie Mellon University   (United States)

^c UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^d TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Emotion recognition; Late fusion; Speech analysis

Indexed keywords

EMOTION RECOGNITION; ENGINES; SIGNAL PROCESSING;

AUTOMATIC SPEECH RECOGNITION; EMOTION RECOGNITION; KNOWLEDGE SOURCES; LATE FUSION; METHOD MODEL; RECOGNITION ENGINES; SIMPLE++; STATE OF THE ART;

SPEECH RECOGNITION;

EID: 78049390049     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5494986     Document Type: Conference Paper

References (11)

1. A. Batliner, S. Steidl, B. Schuller, D. Seppi, K. Laskowski, T. Vogt, L. Devillers, L. Vidrascu, N. Amir, L. Kessous, and V. Aharonson, "Combining Efforts for Improving Automatic Classification of Emotional User States," in Proceedings of IS-LTC 2006, Ljubliana, 2006, pp. 240-245.
2. S. Steidl, Automatic Classification of Emotion-Related User States in Spontaneous Children's Speech, Logos Verlag, Berlin, 2009.
3. B. Schuller, S. Steidl, and A. Batliner, "The INTERSPEECH 2009 Emotion Challenge," in Proc. Interspeech, Brighton, UK, 2009.
4. B. Schuller, A. Batliner, S. Steidl, and D. Seppi, "Emotion Recognition from Speech: Putting ASR in the Loop," in Proc. ICASSP, Taipei, Taiwan, 2009, pp. 4585-4588, IEEE.
5. I. H. Witten and E. Frank, Data mining: Practical machine learning tools and techniques, 2nd Edition, Morgan Kaufmann, San Francisco, 2005.
6. G. Stemmer, Modeling Variability in Speech Recognition, Logos Verlag, Berlin, 2005.
7. T. Polzehl, S. Sundaram, H. Ketabdar, M. Wagner, and F. Metze, "Emotion Classification in Children's Speech Using Fusion Acoustic and Linguistic Features," in Proc. Interspeech, Brighton, UK, 2009.
8. C. M. Lee and S. S. Narayanan, "Toward detecting emotions in spoken dialogs," IEEE Transactions on Speech and Audio Processing, vol. 13, no. 2, pp. 293-303, 2005.
9. F. Eyben, M.Wöllmer, and B. Schuller, "openEAR - Introducing the Munich Open-Source Emotion and Affect Recognition Toolkit," in Proc. ACII. 2009, IEEE.
10. W. Lizhong, S. Oviatt, and P. R. Cohen, "Multimodal integration - a statistical view," in IEEE Transactions on Multimedia, 1999, vol. 1, pp. 334-341.
11. P. Dumouchel, N. Dehak, Y. Attabi, R. Dehak, and N. Boufaden, "Cepstral and Long-Term Features for Emotion Recognition," in Proc. Interspeech, Brighton, UK, 2009.