Fagerström J, Schlecht SJ, Välimäki V (2024)
Publication Type: Journal article
Publication year: 2024
Book Volume: 72
Pages Range: 370-382
Journal Issue: 6
Previous research on late-reverberation modeling has mainly focused on exponentially decaying room impulse responses, whereas methods for accurately modeling non-exponential reverberation remain challenging. This paper extends the previously proposed basic darkvelvet- noise reverberation algorithm and proposes a parametrization scheme for modeling late reverberation with arbitrary temporal energy decay. Each pulse in the velvet-noise sequence is routed to a single dictionary filter that is selected from a set of filters based on weighted probabilities. The probabilities control the spectral evolution of the late-reverberation model and are optimized to fit a target impulse response via non-negative least-squares optimization. In this way, the frequency-dependent energy decay of a target late-reverberation impulse response can be fitted with mean and maximum reverberation-time errors of 4% and 8%, respectively, requiring about 50% less coloration filters than a previously proposed filteredvelvet- noise algorithm. Furthermore, the extended dark-velvet-noise reverberation algorithm allows the modeled impulse response to be gated, the frequency-dependent reverberation time to be modified, and the model's spectral evolution and broadband decay to be decoupled. The proposed method is suitable for the parametric late-reverberation synthesis of various acoustic environments, especially spaces that exhibit a non-exponential energy decay, motivating its use in musical audio and virtual reality.
APA:
Fagerström, J., Schlecht, S.J., & Välimäki, V. (2024). Non-Exponential Reverberation Modeling Using Dark Velvet Noise. Journal of the Audio Engineering Society, 72(6), 370-382. https://doi.org/10.17743/jaes.2022.0138
MLA:
Fagerström, Jon, Sebastian J. Schlecht, and Vesa Välimäki. "Non-Exponential Reverberation Modeling Using Dark Velvet Noise." Journal of the Audio Engineering Society 72.6 (2024): 370-382.
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