Voice Gender Recognition Using Acoustic Features, MFCCs and SVM-Reference-Cited by-同舟云学术

Voice Gender Recognition Using Acoustic Features, MFCCs and SVM

Published:2022 Issue: Volume: Page:634-648
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2022
language:
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Author:

Abakarim Fadwa,Abenaou Abdenbi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10522-7_43

Reference31 articles.

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2. Ng, C.B., Tay, Y.H., Goi, B.M.: Vision-based human gender recognition: A survey. In: Proceedings of the Computer Vision and Pattern Recognition (2012). https://doi.org/10.48550/arXiv.1204.1611

3. Archana, G.S., Malleswari, M.: Gender identification and performance analysis of speech signals. In: Proceedings of the 2015 Global Conference on Communication Technologies (GCCT), pp. 483–489. IEEE (2015). https://doi.org/10.1109/GCCT.2015.7342709

4. Hong, Z.: Speaker gender recognition system, Master's thesis, degree programme in wireless communications engineering. University of Oulu, Oulu, Finland, p. 54 (2017)

5. Titze, I.R.: Measurements for voice production: Research and clinical applications. J. Acoust. Soc. Am. (1998)

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