Speech Analysis Model Based on the Feature of Pitch and Overtones
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-81007-8_23
Reference11 articles.
1. He, J., Fan, H., et al.: A new formant detection algorithm based on cepstrum. emerging systems for materials. Mech. Manuf. 2012, 109: 681–684.
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3. de Fréin, R.: Power-weighted LPC formant estimation. IEEE Trans. Circ. Syst. II: Expr. Briefs (2020)
4. Loni, D.Y., Subbaraman, S.: Formant estimation of speech and singing voice by combining wavelet with LPC and Cepstrum techniques. In: International Conference on Industrial and Information Systems (ICIIS) (2014)
5. Sundar, H., Seelamantula, C.S., Sreenivas, T.V.: A mixture model approach for formant tracking and the robustness of student’s-t distribution. IEEE Trans. Audio Speech Lang. Process. 20(10), 2626–2636 (2012)
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