Audio signals compressed at low bit rates are known to generate audible artifacts that degrade perceptual quality. These different artifacts have been documented and solutions have been proposed by many authors to modify the internal mechanisms of codecs that cause these artifacts. In this paper we propose a post-processing approach to detecting and removing the birdies artifact by modeling spectral components as partials. This approach has the advantage of being compatible with any codec as it only requires the compressed signal. Formal listening tests have shown that this prototype algorithm can increase the perceptual quality of birdies-ridden signals. Furthermore, the explicit detection of this artifact could eventually be used in an objective perceptual quality assessment algorithm.
https://www.aes.org/e-lib/browse.cfm?elib=17959
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