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    Automatic Partial Extraction from the Modal Distribution

    Lysaght, Thomas and Timoney, Joseph and Lazzarini, Victor (2012) Automatic Partial Extraction from the Modal Distribution. In: DAFX-12 the 15th Int. Conference on Digital Audio Effects, September 17-21 2012, York, Uk.

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    The Modal Distribution (MD) is a time-frequency distribution specifically designed to model the quasi-harmonic, multi-sinusoidal, nature of music signals and belongs to the Cohen general class of time-frequency distributions. The problem of signal synthesis from bilinear time-frequency representations such as the Wigner distribution has been investigated [1,14] us-ing methods which exploit an outer-product interpretation of these distributions. Methods of synthesis from the MD based on a sinusoidal-analysis-synthesis procedure using estimates of in-stantaneous frequency and amplitude values have relied on a heuristic search ‘by eye’ for peaks in the time-frequency domain [2,7,8]. An approach to detection of sinusoidal components with the Wigner Distribution has been investigated in [15] based on a comparison of peak magnitudes with the DFT and STFT. In this paper we propose an improved frequency smoothing kernel for use in MD partial tracking and adapt the McCauley-Quatieri sinusoidal analysis procedure to enable a sum of sinusoids synthe-sis. We demonstrate that the improved kernel enhances automatic partial extraction and that the MD estimates of instantaneous amplitude and frequency are preserved. Suggestions for future extensions to the synthesis procedure are given.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Automatic Partial Extraction; Modal Distribution;
    Academic Unit: Faculty of Arts,Celtic Studies and Philosophy > Music
    Faculty of Science and Engineering > Computer Science
    Item ID: 4124
    Depositing User: Joseph Timoney
    Date Deposited: 28 Jan 2013 12:33
    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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