Velvet-noise decorrelator
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A4 Artikkeli konferenssijulkaisussa
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en
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7
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Proceedings of the 20th International Conference on Digital Audio Effects, pp. 405-411, Proceedings of the International Conference on Digital Audio Effects
Abstract
Decorrelation of audio signals is an important process in the spatial reproduction of sounds. For instance, a mono signal that is spread on multiple loudspeakers should be decorrelated for each channel to avoid undesirable comb-filtering artifacts. The process of decorrelating the signal itself is a compromise aiming to reduce the correlation as much as possible while minimizing both the sound coloration and the computing cost. A popular decorrelation method, convolving a sound signal with a short sequence of exponentially decaying white noise which, however, requires the use of the FFT for fast convolution and may cause some latency. Here we propose a decorrelator based on a sparse random sequence called velvet noise, which achieves comparable results without latency and at a smaller computing cost. A segmented temporal decay envelope can also be implemented for further optimizations. Using the proposed method, we found that a decorrelation filter, of similar perceptual attributes to white noise, could be implemented using 87% less operations. Informal listening tests suggest that the resulting decorrelation filter performs comparably to an equivalent white-noise filter.Description
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Alary, B, Politis, A & Välimäki, V 2017, Velvet-noise decorrelator. in Proceedings of the 20th International Conference on Digital Audio Effects. Proceedings of the International Conference on Digital Audio Effects, University of Edinburgh, pp. 405-411, International Conference on Digital Audio Effects, Edinburgh, United Kingdom, 05/09/2017. < http://www.dafx17.eca.ed.ac.uk/papers/DAFx17_paper_96.pdf >