This paper introduces new ideas on wideband stationary/non-stationary noise removal for audio signals. Current noise reduction techniques have generally proven to be effective, yet these typically exhibit certain undesirable characteristics. Distortion and/or alteration of the audio characteristics of primary audio sound is a common problem. Also user intervention in identifying the noise profile is sometimes necessary. The proposed technique is centered on the classical Kalman filtering technique for noise removal but uses a novel architecture whereby advanced signal processing techniques are used to identify and preserve the richness of the audio spectrum. The paper also includes conceptual and derivative results on parameter estimation, a description of multi parameter Signal Activity Detector (SAD) and our new found improved results.

Authors: E.V., Harinarayanan; Sinha, Deepen; Saeed, Shamail; Ferreira, Anibal
Affiliations: ATC Labs; University of Porto/ATC Labs(See document for exact affiliation information.)
AES Convention: 123 (October 2007) Paper Number: 7170
Publication Date: October 1, 2007
Subject: Signal Processing

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