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Adaptive Noise Reduction for Real-time Applications
Zitatschlüssel lerch_Wiesener2010
Autor Wiesener, Constantin and Flohrer, Tim and Lerch, Alexander and Weinzierl, Stefan
Buchtitel Proceedings of the 128th Audio Engineering Society Convention (Preprint \#8048)
Jahr 2010
ISSN 1520-6017
Adresse London
Verlag Audio Engineering Society
Zusammenfassung We present a new algorithm for real-time noise reduction of audio signals. In order to derive the noise reduction function, the proposed method adaptively estimates the instantaneous noise spectrum from an autoregressive signal model as opposed to the widely-used approach of using a constant noise spectrum fingerprint. In conjunction with the Ephraim and Malah suppression rule a significant reduction of both stationary and non-stationary noise can be obtained. The adaptive algorithm is able to work without user interaction and is capable of real-time processing. Furthermore, quality improvements are easily possible by integration of additional processing blocks such as transient preservation.
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