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Emotion Recognition in Speech Using Neural Networks
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Citations
Cited by
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
Emotion Recognition from Physiological Signal Analysis: A Review
Egger, M., Ley, M., & Hanke, S. (2019) · Electronic Notes in Theoretical Computer Science · doi:10.1016/j.entcs.2019.04.009 · Cited by 561
Class-level spectral features for emotion recognition
Bitouk, D., Verma, R., & Nenkova, A. (2010) · Speech Communication · doi:10.1016/j.specom.2010.02.010 · Cited by 219
Hybrid Deep Neural Network--Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition
Li, L., Zhao, Y., Jiang, D., Zhang, Y., Wang, F., Gonzalez, I., Valentin, E., & Sahli, H. (2013) · 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction · doi:10.1109/acii.2013.58 · Cited by 163
Affect-aware behaviour modelling and control inside an intelligent environment
Leon, E., Clarke, G., Callaghan, V., & Doctor, F. (2010) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2009.12.002 · Cited by 30
Metadata
- Authors
- Nicholson, J., Takahashi, K., & Nakatsu, R.
- Venue
- Neural Computing & Applications
- Published
- 2000-12-07
- Volume
- 9
- Issue
- 4
- Pages
- 290-296
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2118911453
- Cited by
- 344
- References
- 0
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Emotion Recognition in Speech Using Neural Networks. https://app.cochat.ai/papers/10.1007/s005210070006
- The paper
- Nicholson, J., Takahashi, K., & Nakatsu, R. (2000). Emotion Recognition in Speech Using Neural Networks. Neural Computing & Applications. https://doi.org/10.1007/s005210070006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
