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Proceedings Paper

Speech enhancement using local spectral regularization
Author(s): Yuma Sandoval-Ibarra; Victor H. Diaz-Ramirez; Vitaly Kober; Arnoldo Diaz
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Paper Abstract

A locally-adaptive algorithm for speech enhancement based on local spectral regularization is presented. The algorithm is able to retrieve a clean speech signal from a noisy signal using locally-adaptive signal processing. The proposed algorithm is able to increase the quality of a noisy signal in terms of objective metrics. Computer simulation results obtained with the proposed algorithm are presented and discussed in processing speech signals corrupted with additive noise.

Paper Details

Date Published: 14 September 2016
PDF: 8 pages
Proc. SPIE 9970, Optics and Photonics for Information Processing X, 997010 (14 September 2016); doi: 10.1117/12.2238170
Show Author Affiliations
Yuma Sandoval-Ibarra, Instituto Politécnico Nacional - Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Victor H. Diaz-Ramirez, Instituto Politécnico Nacional - Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Chelyabinsk State Univ. (Russian Federation)
Arnoldo Diaz, Instituto Tecnológico de Mexicali (Mexico)


Published in SPIE Proceedings Vol. 9970:
Optics and Photonics for Information Processing X
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Mohammad A. Matin, Editor(s)

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