Machine learning approach of speech emotions recognition using feature fusion technique
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/s11042-023-16036-y.pdf
Reference35 articles.
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2. Ancilin J, Milton A (2021) Improved speech emotion recognition with Mel frequency magnitude coefficient. Appl Acoust 179:108046
3. Basu S, Chakraborty J, Bag A, Aftabuddin M (2017) A review on emotion recognition using speech. In: 2017 International conference on inventive communication and computational technologies (ICICCT). IEEE, pp 109–114. https://doi.org/10.1109/ICICCT.2017.7975169
4. Burkhardt F, Paeschke A, Rolfes M, Sendlmeier WF, Weiss B (2005) A database of German emotional speech. In: Interspeech, vol 5, pp 1517–1520. https://doi.org/10.21437/Interspeech.2005-446
5. Chavhan Y, Dhore M, Yesaware P (2010) Speech emotion recognition using support vector machine. Int J Comput Appl 1(20):6–9
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