Speech enhancement using local spectral regularization

Yuma Sandoval-Ibarra; Victor H. Diaz-Ramirez; Vitaly Kober; Arnoldo Diaz

doi:10.1117/12.2238170

14 September 2016 Speech enhancement using local spectral regularization

Yuma Sandoval-Ibarra, Victor H. Diaz-Ramirez, Vitaly Kober, Arnoldo Diaz

Proceedings Volume 9970, Optics and Photonics for Information Processing X; 997010 (2016) https://doi.org/10.1117/12.2238170
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

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.

Conference Presentation

Citation Download Citation

Yuma Sandoval-Ibarra, Victor H. Diaz-Ramirez, Vitaly Kober, and Arnoldo Diaz "Speech enhancement using local spectral regularization", Proc. SPIE 9970, Optics and Photonics for Information Processing X, 997010 (14 September 2016); https://doi.org/10.1117/12.2238170

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