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
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;
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
DOI :
10.1109/TASL.2013.2253099