A novel approach to detect instant emotion change through spectral variation in single frequency filtering spectrogram of each pitch cycle
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13731-0.pdf
Reference35 articles.
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3. Altun H, Polat G (2009) Boosting selection of speech related features to improve performance of multi-class SVMs in emotion detection. Expert Syst Appl 36(4):8197–8203
4. Aneeja G, Yegnanarayana B (2015) Single frequency filtering approach for discriminating speech and nonspeech. IEEE Trans Audio Speech Lang Process 23(4):705–717. https://doi.org/10.1109/TASLP.2015.2404035
5. Aneeja G, Yegnanarayana B (2017) Extraction of fundamental frequency from degraded speech using temporal envelopes at high SNR frequencies. IEEE/ACM Trans Audio Speech Language Process 25(4):829–838. https://doi.org/10.1109/TASLP.2017.2666425
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