Methods for low bitrate coding enhancement part I: Spectral restoration
Gampp P, Uhle C, Disch S, Hellmuth O, Prokein P, Havenstein J, Karampourniotis A, Herre J (2017)
Publication Type: Conference contribution
Publication year: 2017
Publisher: Audio Engineering Society
Book Volume: 2017-September
Conference Proceedings Title: Proceedings of the AES International Conference
Event location: Burlingame, San Francisco, CA, USA
Abstract
Perceptual audio coders are widely used when storage space or streaming bandwidth for audio content is limited. If the used bitrate is low, various coding artifacts can be introduced that degrade the perceived audio quality. A suite of algorithms has been developed to conceal these coding artifacts and to improve the perceived sound quality in automotive environments. This paper is a continuation of a previous paper and introduces two post-processing algorithms for restoring the spatial signal quality of decoded compressed audio signals. Both algorithms work single-ended, i.e. without access to the bitrate or other side information. The merit of the algorithms is demonstrated by listening tests. A second part of the paper describes algorithms that enhance the spatial image.
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Germany (DE)How to cite
APA:
Gampp, P., Uhle, C., Disch, S., Hellmuth, O., Prokein, P., Havenstein, J.,... Herre, J. (2017). Methods for low bitrate coding enhancement part I: Spectral restoration. In Proceedings of the AES International Conference. Burlingame, San Francisco, CA, USA: Audio Engineering Society.
MLA:
Gampp, Patrick, et al. "Methods for low bitrate coding enhancement part I: Spectral restoration." Proceedings of the AES 2017 International Conference on Automotive Audio, Burlingame, San Francisco, CA, USA Audio Engineering Society, 2017.
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