Parameter Estimation of Dynamic Range Compressors: Models, Procedures and Test Signals
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J. Bitzer, D. Schmidt, and U. Simmer, "Parameter Estimation of Dynamic Range Compressors: Models, Procedures and Test Signals," Paper 6849, (2006 May.). doi:
J. Bitzer, D. Schmidt, and U. Simmer, "Parameter Estimation of Dynamic Range Compressors: Models, Procedures and Test Signals," Paper 6849, (2006 May.). doi:
Abstract: An analysis of digital dynamic range compression algorithms is presented. They are studied by employing a single-band feed-forward compressor model allowing the use of independent attack and release times for both RMS detection and gain smoothing. Artificial test signals for measuring the static and dynamic compressor characteristics are discussed. The parameters of the compressor model are estimated by fitting the model output to the output of the compressor under test by using a simplex method. The results are verified by comparing the output levels of the actual and the fitted compressor for real world audio samples.
@article{bitzer2006parameter,
author={bitzer, joerg and schmidt, denny and simmer, uwe},
journal={journal of the audio engineering society},
title={parameter estimation of dynamic range compressors: models, procedures and test signals},
year={2006},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{bitzer2006parameter,
author={bitzer, joerg and schmidt, denny and simmer, uwe},
journal={journal of the audio engineering society},
title={parameter estimation of dynamic range compressors: models, procedures and test signals},
year={2006},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={an analysis of digital dynamic range compression algorithms is presented. they are studied by employing a single-band feed-forward compressor model allowing the use of independent attack and release times for both rms detection and gain smoothing. artificial test signals for measuring the static and dynamic compressor characteristics are discussed. the parameters of the compressor model are estimated by fitting the model output to the output of the compressor under test by using a simplex method. the results are verified by comparing the output levels of the actual and the fitted compressor for real world audio samples.},}
TY - paper
TI - Parameter Estimation of Dynamic Range Compressors: Models, Procedures and Test Signals
SP -
EP -
AU - Bitzer, Joerg
AU - Schmidt, Denny
AU - Simmer, Uwe
PY - 2006
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2006
TY - paper
TI - Parameter Estimation of Dynamic Range Compressors: Models, Procedures and Test Signals
SP -
EP -
AU - Bitzer, Joerg
AU - Schmidt, Denny
AU - Simmer, Uwe
PY - 2006
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2006
AB - An analysis of digital dynamic range compression algorithms is presented. They are studied by employing a single-band feed-forward compressor model allowing the use of independent attack and release times for both RMS detection and gain smoothing. Artificial test signals for measuring the static and dynamic compressor characteristics are discussed. The parameters of the compressor model are estimated by fitting the model output to the output of the compressor under test by using a simplex method. The results are verified by comparing the output levels of the actual and the fitted compressor for real world audio samples.
An analysis of digital dynamic range compression algorithms is presented. They are studied by employing a single-band feed-forward compressor model allowing the use of independent attack and release times for both RMS detection and gain smoothing. Artificial test signals for measuring the static and dynamic compressor characteristics are discussed. The parameters of the compressor model are estimated by fitting the model output to the output of the compressor under test by using a simplex method. The results are verified by comparing the output levels of the actual and the fitted compressor for real world audio samples.
Authors:
Bitzer, Joerg; Schmidt, Denny; Simmer, Uwe
Affiliations:
University of Applied Sciences Oldenburg; University of Bremen(See document for exact affiliation information.)
AES Convention:
120 (May 2006)
Paper Number:
6849
Publication Date:
May 1, 2006Import into BibTeX
Subject:
Audio Recording and Reproduction
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=13653