DocumentCode
2802452
Title
A hybrid reverberation crossfading technique
Author
Greenblatt, Aaron B. ; Abel, Jonathan S. ; Berners, David P.
Author_Institution
Dept. of Music, Stanford Univ., Stanford, CA, USA
fYear
2010
fDate
14-19 March 2010
Firstpage
429
Lastpage
432
Abstract
Hybrid reverberators combine convolutional and feedback delay network (FDN) reverberators to exactly reproduce the psycoacoustically important reverberation impulse response onset while efficiently generating the needed late-field characteristics. A simple method for crossfading between the convolutional and FDN components of a hybrid reverberation is presented. It involves forming the convolutional impulse response as the windowed difference between the desired and FDN impulse responses. In this way, arbitrary windows may be applied to the convolution and FDN components of the hybrid reverberator impulse response in forming the cross-fade. For applications in which the impulse response onset depends on a parameter, a singular value decomposition is used to develop a low-rank approximation to the tabulated reverberation impulse response onsets. The approximation is the combination of a few fixed impulse responses, with parameter-dependent weights. An emulation of the EMT 140 plate reverberator is presented as a sample application.
Keywords
acoustic delay lines; acoustic signal processing; convolution; reverberation; EMT 140 plate reverberator; FDN reverberator; convolutional impulse response; convolutional reverberator; feedback delay network reverberator; hybrid reverberation crossfading technique; hybrid reverberators; late field characteristics; psycoacoustics; reverberation impulse response onset; singular value decomposition; Character generation; Convolution; Emulation; Feedback loop; Filtering; Filters; Frequency; Hybrid power systems; Reverberation; Singular value decomposition; EMT 140; Hybrid reverberation; audio effects; singular value decomposition; virtual analog;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495753
Filename
5495753
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