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A parametric model for spectral sound synthesis of musical sounds

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dc.contributor.author Kreutzer, Cornelia
dc.contributor.author Walker, Jacqueline
dc.contributor.author O'Neill, Michael
dc.date.accessioned 2009-03-13T14:08:56Z
dc.date.available 2009-03-13T14:08:56Z
dc.date.issued 2008
dc.identifier.uri http://hdl.handle.net/10344/143
dc.description non-peer-reviewed
dc.description.abstract We introduce a reduced parameter synthesis model for the spectral synthesis of musical sounds, which preserves the timbre and the naturalness of the musical sound. It also provides large flexibility for the user and reduces the number of synthesis parameters compared to traditional analysis/re-synthesis methods. The proposed model is almost completely independent from a previous spectral analysis. We present a frequency estimation method using a random walk to keep the naturalness of the sound without using a separate noise model. Three different approaches have been tested to estimate the amplitude values for the synthesis, namely, local optimization, the use of a lowpass filter and polynomial fitting. All of these approaches give good results, especially for the sustain part of the signal. en
dc.description.sponsorship SFI en
dc.language.iso eng en
dc.publisher International Conference on Audio, Language and Image Processing (ICALIP) en
dc.relation.ispartofseries Proceedings of the International Conference on Audio, Language and Image Processing (ICALIP) 2008;pp.633-637
dc.relation.uri http://dx.doi.org/10.1109/ICALIP.2008.4590233
dc.subject musical sounds en
dc.subject spectral sound synthesis en
dc.subject frequency estimation en
dc.title A parametric model for spectral sound synthesis of musical sounds en
dc.type Conference item en
dc.type.supercollection all_ul_research en
dc.type.restriction none en
dc.identifier.local 09ece04
dc.contributor.sponsor SFI

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