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Recognizing emotion in speech
Abstract
This paper explores several statistical pattern recognition techniques to classify utterances according to their emotional content.We have recorded a corpus containing emotional speech with over a 1000 utterances from different speakers.We present a new method of extracting prosodic features from speech, based on a smoothing spline approximation of the pitch contour.To make maximal use of the limited amount of training data available, we introduce a novel pattern recognition technique: majority voting of subspace specialists.Using this technique, we obtain classification performance that is close to human performance on the task.
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Cited by
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.52 · Cited by 2,797
A review of affective computing: From unimodal analysis to multimodal fusion
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644
Toward detecting emotions in spoken dialogs
Lee, C. M., & Narayanan, S. S. (2005) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/tsa.2004.838534 · Cited by 988
Speech emotion recognition using hidden Markov models
Nwe, T. L., Foo, S. W., & De Silva, L. C. (2003) · Speech Communication · doi:10.1016/s0167-6393(03)00099-2 · Cited by 920
Analysis of emotion recognition using facial expressions, speech and multimodal information
Busso, C., Deng, Z., Yildirim, S., Bulut, M., Lee, C. M., Kazemzadeh, A., Lee, S., Neumann, U., & Narayanan, S. (2004) · Proceedings of the 6th international conference on Multimodal interfaces · doi:10.1145/1027933.1027968 · Cited by 840
Metadata
- Authors
- Dellaert, F., Polzin, T., & Waibel, A.
- Venue
- 4th International Conference on Spoken Language Processing (ICSLP 1996)
- Publisher
- ISCA
- Published
- 1996-10-03
- Pages
- 1970-1973
- OpenAlex
- W4300985914
- Cited by
- 158
- References
- 0
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Recognizing emotion in speech. https://app.cochat.ai/papers/10.21437/icslp.1996-462
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- Dellaert, F., Polzin, T., & Waibel, A. (1996). Recognizing emotion in speech. 4th International Conference on Spoken Language Processing (ICSLP 1996). https://doi.org/10.21437/icslp.1996-462
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
