Teager Energy-Autocorrelation Envelope for Stressed Speech Emotion Recognition with Spectral Features: A Multi-database Analysis
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11134-y.pdf
Reference20 articles.
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3. Sun, Y., Wen, G., & Wang, J. (2015). Weighted spectral features based on local Hu moments for speech emotion recognition. Biomedical signal processing and control, 18, 80–90. https://doi.org/10.1016/j.bspc.2014.10.008
4. Nicholas, C. (2015). A review of depression and suicide risk assessment using speech analysis. Speech Communication, 71, 10–49. https://doi.org/10.1016/j.specom.2015.03.004
5. Subhashree, R., & Rathna, G. N. (2015). Speech emotion recognition: Performance analysis based on fused algorithms and GMM modelling. Indian Journal of Science and Technology. https://doi.org/10.17485/ijst/2016/v9i11/88460
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