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    Modal distribution synthesis from sub-sampled autocorrelation function

    Lysaght, Thomas and Timoney, Joseph and Lazzarini, Victor (2007) Modal distribution synthesis from sub-sampled autocorrelation function. In: DAFX-07 the 10th Int. Conference on Digital Audio Effects, September 10-15 2007, Bordeaux, France.

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    The problem of signal synthesis from bilinear time-frequency representations such as the Wigner distribution has been investigated using methods which exploit an outer-product interpretation of these distributions. The Modal distribution is a time-frequency distribution specifically designed to model the quasiharmonic, multi-sinusoidal, nature of music signals and belongs to the Cohen general class of time-frequency distributions. Existing methods of synthesis from the Modal distribution are based on a sinusoidal-analysis-synthesis procedure using estimates of instantaneous frequency and amplitude values. In this paper we develop an innovative synthesis procedure for the Modal distribution based on the outer-product interpretation of bilinear time-frequency distributions. We also propose a streaming object-oriented implementation of the resynthesis in the SndObj library based on previous work which implemented a streaming implementation of the Modal distribution [7]. The theoretical background to the Modal distribution and to signal synthesis of Wigner distributions is first outlined followed by an explanation of the design and implementation of the Modal distribution synthesis. Suggestions for future extensions to the synthesis procedure are given.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Modal Distribution; Time-frequency analysis; signal resynthesis;
    Academic Unit: Faculty of Arts & Humanities > Music
    Faculty of Science and Engineering > Computer Science
    Item ID: 4168
    Depositing User: Joseph Timoney
    Date Deposited: 31 Jan 2013 15:06
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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