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The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals
Open accessAbstract
In this paper, we report on classification results for emotional user states (4 classes, German database of children interacting with a pet robot).Six sites computed acoustic and linguistic features independently from each other, following in part different strategies.A total of 4244 features were pooled together and grouped into 12 low level descriptor types and 6 functional types.For each of these groups, classification results using Support Vector Machines and Random Forests are reported for the full set of features, and for 150 features each with the highest individual Information Gain Ratio.The performance for the different groups varies mostly between ≈ 50% and ≈ 60%.
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Citations
Cited by
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
Eyben, F., Scherer, K. R., Schuller, B. W., Sundberg, J., Andre, E., Busso, C., Devillers, L. Y., Epps, J., Laukka, P., Narayanan, S. S., et al. (2016) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2457417 · Cited by 1,818
Self-citationThe INTERSPEECH 2009 emotion challenge
Schuller, B., Steidl, S., & Batliner, A. (2009) · Interspeech 2009 · doi:10.21437/interspeech.2009-103 · Cited by 938
Self-citationAutomatic speech emotion recognition using recurrent neural networks with local attention
Mirsamadi, S., Barsoum, E., & Zhang, C. (2017) · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2017.7952552 · Cited by 770
Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011
Anagnostopoulos, C.-N., Iliou, T., & Giannoukos, I. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-012-9368-5 · Cited by 428
OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit
Eyben, F., Wollmer, M., & Schuller, B. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops · doi:10.1109/acii.2009.5349350 · Cited by 418
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Metadata
- Authors
- Schuller, B., Batliner, A., Seppi, D., Steidl, S., Vogt, T., Wagner, J., Devillers, L., Vidrascu, L., Amir, N., Kessous, L., & Aharonson, V.
- Venue
- Interspeech 2007
- Publisher
- ISCA
- Published
- 2007-08-27
- Pages
- 2253-2256
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W309418507
- Cited by
- 191
- References
- 0
- FWCI
- 31.16
- Type
- conference paper
- Language
- en
- Open access
- green
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- Schuller, B., Batliner, A., Seppi, D., Steidl, S., Vogt, T., Wagner, J., Devillers, L., Vidrascu, L., Amir, N., Kessous, L., & Aharonson, V. (2007). The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals. Interspeech 2007. https://doi.org/10.21437/interspeech.2007-612
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