Speech enhancement with adaptive spectral estimators
- Authors: Sandoval-Ibarra Y.1, Diaz-Ramirez V.H.1, Kober V.I.2,3, Karnaukhov V.N.3
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Affiliations:
- Instituto Politécnico Nacional-CITEDI
- Departament of Computer Science
- Institute for Information Transmission Problems
- Issue: Vol 61, No 6 (2016)
- Pages: 672-678
- Section: Mathematical Models and Computational Methods
- URL: https://journals.rcsi.science/1064-2269/article/view/197039
- DOI: https://doi.org/10.1134/S1064226916060218
- ID: 197039
Cite item
Abstract
Common statistical estimators for speech enhancement rely on several assumptions about statistical properties of speech and noise processes. In real applications, these assumptions may not be always satisfied due to the effects of a nonstationary environment. In this work, we propose new robust spectral estimators for speech enhancement by incorporation of calculation of rank-order statistics to existing speech enhancement estimators. The proposed estimators are better adapted to nonstationary characteristics of speech signals and noise processes in real environments. By means of computer simulations, we show that the proposed estimators outperform the known estimators in terms of objective criteria of quality.
Keywords
About the authors
Y. Sandoval-Ibarra
Instituto Politécnico Nacional-CITEDI
Email: vnk@iitp.ru
Mexico, Ave. del Parque 1310, Mesa de Otay, Tijuana, B.C., 22510
V. H. Diaz-Ramirez
Instituto Politécnico Nacional-CITEDI
Email: vnk@iitp.ru
Mexico, Ave. del Parque 1310, Mesa de Otay, Tijuana, B.C., 22510
V. I. Kober
Departament of Computer Science; Institute for Information Transmission Problems
Author for correspondence.
Email: vkober@cicese.mx
Mexico, Carretera Ensenada-Tijuana 3918, Zona Playitas, Ensenada, B.C., 22860; Bol’shoi Karetnyi per. 19 str. 1, Moscow, 127051
V. N. Karnaukhov
Institute for Information Transmission Problems
Author for correspondence.
Email: vnk@iitp.ru
Russian Federation, Bol’shoi Karetnyi per. 19 str. 1, Moscow, 127051
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