From Event: SPIE Optical Engineering + Applications, 2016
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.
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 (Presented at SPIE Optical Engineering + Applications: August 30, 2016; Published: 14 September 2016); https://doi.org/10.1117/12.2238170.
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