Methods for Low Bitrate Coding Enhancement Part I: Spectral Restoration

Gampp P, Uhle C, Herre J, Disch S, Hellmuth O, Prokein P, Havenstein J, Karampourniotis A. Methods for Low Bitrate Coding Enhancement Part I: Spectral Restoration. In: AES Conference: 2017 AES International Conference on Automotive Audio. Audio Engineering Society; 2017. Paper P1-1. Available from: https://aes.org/publications/elibrary-page/?id=19193

@inproceedings{Gampp2017_19193,
  author = {Gampp, Patrick and Uhle, Christian and Herre, Ju¨rgen and Disch, Sascha and Hellmuth, Oliver and Prokein, Peter and Havenstein, Julia and Karampourniotis, Antonios},
  title = {{Methods for Low Bitrate Coding Enhancement Part I: Spectral Restoration}},
  booktitle = {AES Conference: 2017 AES International Conference on Automotive Audio},
  note = {Paper P1-1},
  year = {2017},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19193}
}

TY  - CPAPER
TI  - Methods for Low Bitrate Coding Enhancement Part I: Spectral Restoration
AU  - Gampp, Patrick
AU  - Uhle, Christian
AU  - Herre, Ju¨rgen
AU  - Disch, Sascha
AU  - Hellmuth, Oliver
AU  - Prokein, Peter
AU  - Havenstein, Julia
AU  - Karampourniotis, Antonios
T2  - AES Conference: 2017 AES International Conference on Automotive Audio
M1  - Paper P1-1
PY  - 2017
DA  - 2017/08/06
UR  - https://aes.org/publications/elibrary-page/?id=19193
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -