DocumentCode
1759296
Title
Model-Based Inversion of Dynamic Range Compression
Author
Gorlow, Stanislaw ; Reiss, Joshua D.
Author_Institution
Comput. Sci. Res. Lab. of Bordeaux (LaBRI), Bordeaux 1 Univ., Talence, France
Volume
21
Issue
7
fYear
2013
fDate
41456
Firstpage
1434
Lastpage
1444
Abstract
In this work it is shown how a dynamic nonlinear time-variant operator, such as a dynamic range compressor, can be inverted using an explicit signal model. By knowing the model parameters that were used for compression one is able to recover the original uncompressed signal from a “broadcast” signal with high numerical accuracy and very low computational complexity. A compressor-decompressor scheme is worked out and described in detail. The approach is evaluated on real-world audio material with great success.
Keywords
audio signal processing; data compression; broadcast signal; compressor-decompressor scheme; computational complexity; dynamic nonlinear time-variant operator; dynamic range compression; explicit signal model; model parameters; model-based inversion; numerical accuracy; real-world audio material; uncompressed signal recovery; Audio signal processing; Computational complexity; Data compression; Dynamic range; Smoothing methods; Dynamic range compression; inversion; model-based; reverse audio engineering;
fLanguage
English
Journal_Title
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher
ieee
ISSN
1558-7916
Type
jour
DOI
10.1109/TASL.2013.2253099
Filename
6480792
Link To Document