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Transient-to-noise ratio restoration of coded applause-like signals

: Adami, A.; Herzog, A.; Disch, S.; Herre, J.


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 : 15-18 October 2017, New Paltz, NY, USA
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-1632-1
ISBN: 978-1-5386-1631-4
ISBN: 978-1-5386-1633-8
Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) <2017, New Paltz/NY>
Fraunhofer IIS ()

Coding of signals with high amount of dense transient events, like applause, rain drops, etc., is usually a difficult task for perceptual audio coders. Especially at low bit rates, coding (and the associated coding noise) leads to smeared transients and a perceived increase in noise-like signal character. We propose a post-processing technique for coded/decoded applause-like signals which is based on a signal decomposition into foreground (transient) clap events and a more noise-like background part. The proposed method aims at restoring the transient-To-noise ratio of the decoded signal using a static frequency-dependent restoration profile. The method is shown to provide a significant improvement in subjective audio quality (MUSHRA score) when applied to signals originating from a state-of-The-Art audio codec in different configurations.