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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.
Author (s): Kawczinski, Kimberly; Abel, Jonathan S.
Affiliation:
Center for Computer Research in Music and Acoustics, Stanford University, CA, USA
(See document for exact affiliation information.)
AES Convention: 149
Paper Number:10446
Publication Date:
2020-10-06
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Session subject:
Audio Processing
Permalink: https://aes2.org/publications/elibrary-page/?id=20983
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Kawczinski, Kimberly; Abel, Jonathan S.; 2020; Perceptually-Informed Features for Room Reverberation Modeling and Prediction [PDF]; Center for Computer Research in Music and Acoustics, Stanford University, CA, USA; Paper 10446; Available from: https://aes2.org/publications/elibrary-page/?id=20983
Kawczinski, Kimberly; Abel, Jonathan S.; Perceptually-Informed Features for Room Reverberation Modeling and Prediction [PDF]; Center for Computer Research in Music and Acoustics, Stanford University, CA, USA; Paper 10446; 2020 Available: https://aes2.org/publications/elibrary-page/?id=20983