Velvet-noise decorrelator

Benoit Alary, Archontis Politis, Vesa Välimäki

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

20 Sitaatiot (Scopus)
112 Lataukset (Pure)


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.

OtsikkoProceedings of the 20th International Conference on Digital Audio Effects
KustantajaUniversity of Edinburgh
TilaJulkaistu - 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Digital Audio Effects - Edinburgh, Iso-Britannia
Kesto: 5 syysk. 20179 syysk. 2017
Konferenssinumero: 20


NimiProceedings of the International Conference on Digital Audio Effects
ISSN (painettu)2413-6700
ISSN (elektroninen)2413-6689


ConferenceInternational Conference on Digital Audio Effects


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