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Scattering in Feedback Delay Networks

delete2020-01-01
delete10
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OA
AI
S
Sebastian J. Schlecht *
E
Emanuël A. P. Habets
DOI:10.1109/TASLP.2020.3001395delete
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Abstract

Abstract

En 中文
Feedback delay networks (FDNs) are recursive filters, which are widely used for artificial reverberation and decorrelation. One central challenge in the design of FDNs is the generation of sufficient echo density in the impulse response without compromising the computational efficiency. In a previous contribution, we have demonstrated that the echo density of an FDN can be increased by introducing so-called delay feedback matrices where each matrix entry is a scalar gain and a delay. In this contribution, we generalize the feedback matrix to arbitrary lossless filter feedback matrices (FFMs). As a special case, we propose the velvet feedback matrix, which can create dense impulse responses at a minimal computational cost. Further, FFMs can be used to emulate the scattering effects of non-specular reflections. We demonstrate the effectiveness of FFMs in terms of echo density and modal distribution.
Keywords:
Delays
Finite impulse response filters
Transmission line matrix methods
Scattering
Speech processing
Reverberation
Attenuation
Feedback delay network
artificial reverberation
echo density
paraunitary matrices
scattering
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Journal

I
IEEE-ACM Transactions on Audio Speech and Language Processing
IF:
5.1
Papers:
2.6K
Citations:
1.1W

Organization

A
Aalto University
Scholars:
1.6W
Papers: 1.5W
Citations: 2.1W
U
University of Erlangen Nuremberg
Scholars:
3.2W
Papers: 2.6W
Citations: 29