Late reverberation synthesis using filtered velvet noise

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Välimäki, Vesa Holm-Rasmussen, Bo Alary, Benoit Lehtonen, Heidi Maria 2017-06-20T11:13:50Z 2017-06-20T11:13:50Z 2017
dc.identifier.citation Välimäki , V , Holm-Rasmussen , B , Alary , B & Lehtonen , H M 2017 , ' Late reverberation synthesis using filtered velvet noise ' APPLIED SCIENCES , vol 7 , no. 5 , 483 . DOI: 10.3390/app7050483 en
dc.identifier.issn 2076-3417
dc.identifier.other PURE UUID: 12253d0e-85e5-4ec4-ba1b-7c6caf4a1cff
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dc.description.abstract This paper discusses the modeling of the late part of a room impulse response by dividing it into short segments and approximating each one as a filtered random sequence. The filters and their associated gain account for the spectral shape and decay of the overall response. The noise segments are realized with velvet noise, which is sparse pseudo-random noise. The proposed approach leads to a parametric representation and computationally efficient artificial reverberation, since convolution with velvet noise reduces to a multiplication-free sparse sum. Cascading of the differential coloration filters is proposed to further reduce the computational cost. A subjective test shows that the resulting approximation of the late reverberation often leads to a noticeable difference in comparison to the original impulse response, especially with transient sounds, but the difference is minor. The proposed method is very efficient in terms of real-time computational cost and memory storage. The proposed method will be useful for spatial audio applications. en
dc.format.extent 17
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries APPLIED SCIENCES en
dc.relation.ispartofseries Volume 7, issue 5 en
dc.rights openAccess en
dc.subject.other Applied Mathematics en
dc.subject.other 213 Electronic, automation and communications engineering, electronics en
dc.title Late reverberation synthesis using filtered velvet noise en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Signal Processing and Acoustics
dc.subject.keyword Audio systems
dc.subject.keyword Digital filters
dc.subject.keyword Digital signal processing
dc.subject.keyword Room acoustics
dc.subject.keyword Applied Mathematics
dc.subject.keyword 213 Electronic, automation and communications engineering, electronics
dc.identifier.urn URN:NBN:fi:aalto-201706205656
dc.identifier.doi 10.3390/app7050483
dc.type.version publishedVersion

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