Paper Info
Title
Automatic parameter optimization for a perceptual audio codec
Abstract
In audio codec design, often various parameters have to be fixed which may have a dramatic impact on codec performance. In this paper, we report on successful optimization of a codec based on perceptual criteria. Specifically, the PEAQ measure is used to determine the audio quality over a set of test items and search algorithms are used for optimization. First, simulated annealing is used for global search, then Rosenbrock's method is used to further refine the result. As shown by an example, the improvements gained by optimization compared to an educated guess are substantial.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4959508
ICASSP
Keywords
Field
DocType
audio coding,codecs,search problems,simulated annealing,Rosenbrocks method,automatic parameter optimization,global search,perceptual audio codec,search algorithm,simulated annealing,Audio coding,optimization methods,simulated annealing
Audio codec,Search algorithm,Computer science,Sound quality,Real-time computing,Artificial intelligence,PEAQ,Codec,Simulated annealing,Pattern recognition,Speech recognition,Noise shaping,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.43
References 
Authors
3
2
Name
Order
Citations
PageRank
Martin Holters142.78
Udo Zolzer231.49