VELVET-NOISE FEEDBACK DELAY NETWORK

Fagerström J, Alary B, Schlecht SJ, Välimäki V (2020)


Publication Type: Conference contribution

Publication year: 2020

Publisher: DAFx

Book Volume: 1

Pages Range: 219-226

Conference Proceedings Title: Proceedings of the International Conference on Digital Audio Effects, DAFx

Event location: Vienna, AUT

Abstract

Artificial reverberation is an audio effect used to simulate the acoustics of a space while controlling its aesthetics, particularly on sounds recorded in a dry studio environment. Delay-based methods are a family of artificial reverberators using recirculating delay lines to create this effect. The feedback delay network is a popular delay-based reverberator providing a comprehensive framework for parametric reverberation by formalizing the recirculation of a set of interconnected delay lines. However, one known limitation of this algorithm is the initial slow build-up of echoes, which can sound unrealistic, and overcoming this problem often requires adding more delay lines to the network. In this paper, we study the effect of adding velvet-noise filters, which have random sparse coefficients, at the input and output branches of the reverberator. The goal is to increase the echo density while minimizing the spectral coloration. We compare different variations of velvet-noise filtering and show their benefits. We demonstrate that with velvet noise, the echo density of a conventional feedback delay network can be exceeded using half the number of delay lines and saving over 50% of computing operations in a practical configuration using low-order attenuation filters.

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APA:

Fagerström, J., Alary, B., Schlecht, S.J., & Välimäki, V. (2020). VELVET-NOISE FEEDBACK DELAY NETWORK. In Gianpaolo Evangelista (Eds.), Proceedings of the International Conference on Digital Audio Effects, DAFx (pp. 219-226). Vienna, AUT: DAFx.

MLA:

Fagerström, Jon, et al. "VELVET-NOISE FEEDBACK DELAY NETWORK." Proceedings of the 23rd International Conference on Digital Audio Effects, eDAFx 2020 and DAFx 2021, Vienna, AUT Ed. Gianpaolo Evangelista, DAFx, 2020. 219-226.

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