Perceptually-Informed Features for Room Reverberation Modeling and Prediction
×
Cite This
Citation & Abstract
K. Kawczinski, and JO. S.. Abel, "Perceptually-Informed Features for Room Reverberation Modeling and Prediction," Paper 10446, (2020 October.). doi:
K. Kawczinski, and JO. S.. Abel, "Perceptually-Informed Features for Room Reverberation Modeling and Prediction," Paper 10446, (2020 October.). doi:
Abstract: A room reverberation model based on normalized echo density and bandwise energy decay is presented. The model produces psychoacoustically transparent and statistically independent impulse response copies by sampling the parameters at various rates. These parameters are further considered as a feature set for prediction within an acoustic space and tested using a standard data set with three measured spaces. The numerical error introduced in the prediction procedure is evaluated, revealing space-dependent trends.
@article{kawczinski2020perceptually-informed,
author={kawczinski, kimberly and abel, jonathan s.},
journal={journal of the audio engineering society},
title={perceptually-informed features for room reverberation modeling and prediction},
year={2020},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{kawczinski2020perceptually-informed,
author={kawczinski, kimberly and abel, jonathan s.},
journal={journal of the audio engineering society},
title={perceptually-informed features for room reverberation modeling and prediction},
year={2020},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={a room reverberation model based on normalized echo density and bandwise energy decay is presented. the model produces psychoacoustically transparent and statistically independent impulse response copies by sampling the parameters at various rates. these parameters are further considered as a feature set for prediction within an acoustic space and tested using a standard data set with three measured spaces. the numerical error introduced in the prediction procedure is evaluated, revealing space-dependent trends.},}
TY - paper
TI - Perceptually-Informed Features for Room Reverberation Modeling and Prediction
SP -
EP -
AU - Kawczinski, Kimberly
AU - Abel, Jonathan S.
PY - 2020
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2020
TY - paper
TI - Perceptually-Informed Features for Room Reverberation Modeling and Prediction
SP -
EP -
AU - Kawczinski, Kimberly
AU - Abel, Jonathan S.
PY - 2020
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2020
AB - A room reverberation model based on normalized echo density and bandwise energy decay is presented. The model produces psychoacoustically transparent and statistically independent impulse response copies by sampling the parameters at various rates. These parameters are further considered as a feature set for prediction within an acoustic space and tested using a standard data set with three measured spaces. The numerical error introduced in the prediction procedure is evaluated, revealing space-dependent trends.
A room reverberation model based on normalized echo density and bandwise energy decay is presented. The model produces psychoacoustically transparent and statistically independent impulse response copies by sampling the parameters at various rates. These parameters are further considered as a feature set for prediction within an acoustic space and tested using a standard data set with three measured spaces. The numerical error introduced in the prediction procedure is evaluated, revealing space-dependent trends.
Authors:
Kawczinski, Kimberly; Abel, Jonathan S.
Affiliation:
Center for Computer Research in Music and Acoustics, Stanford University, CA, USA
AES Convention:
149 (October 2020)
Paper Number:
10446
Publication Date:
October 22, 2020Import into BibTeX
Subject:
Audio Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=20983