An adaptive approach for contextual audio denoising using local Fisher information

Alexandre L. M Levada, Debora C. Correa

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

Abstract

This paper presents a novel adaptive technique for audio signal denoising based on the extension of the pointwise Wiener filter through the minimization of the local Fisher information. The solution obtained by the resulting filter can be interpreted as a tradeoff between the minimization of the local mean square error and the minimization of the local observed Fisher information, since it is a linear convex combination of the two conditions. To evaluate the performance of the denoising task we use four quantitative metrics: the Peak Signal-To-Noise Ratio (PSNR), the Improvement in Signal-To-Noise Ratio (ISNR), the Noise-Reduction Ratio (NRR) and the Signal-To-Distortion Ratio (SDR). The obtained results show the effectiveness of the proposed generalized filter.

Original languageEnglish
Title of host publication2011 IEEE International Symposium of Circuits and Systems
EditorsAlbert Wang, Hoi Lee, Gabriel Rincón-Mor
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages125-128
Number of pages4
ISBN (Print)9781424494736
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 - Rio de Janeiro, Brazil
Duration: 15 May 201118 May 2011

Conference

Conference2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
CountryBrazil
CityRio de Janeiro
Period15/05/1118/05/11

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