One of the most challenging problems to address in the modeling of acoustic channels is the presence of nonlinearities generated by loudspeakers. This problem has become even more widespread due to the growing availability of low-cost devices that introduce a larger amount of distortions and decrease the quality of hands-free speech communication. In order to reduce the effect of loudspeaker nonlinearities on the speech quality, nonlinear acoustic echo cancellers are adopted. In this paper we present a new adaptive filtering structure for the reduction of nonlinearities in the acoustic path, based on a nonlinear transformation of the input audio signal by means of functional links. We use such a nonlinear model in conjunction with a linear filter providing a nonlinear adaptive architecture for acoustic applications. Experimental results prove the effectiveness of the proposed model in reducing loudspeaker nonlinearities affecting speech signals.

Authors: Comminiello, Danilo; Grosso, Antonio; Cagnetti, Fabio; Uncini, Aurelio
Affiliations: Sapienza University of Rome, Rome, Italy; bdSound, Milan, Italy(See document for exact affiliation information.)
AES Convention: 134 (May 2013) Paper Number: 8916
Publication Date: May 4, 2013 Import into BibTeX
Subject: Measurements and Modeling
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=16816

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