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Morphing of transient sounds based on shift invariant discrete wavelet transform and singular value decomposition
Date
2009-04-19
Author
Ahmad, Wasim
Hacıhabiboğlu, Hüseyin
kondoz, ahmet
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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In this paper, a new morphing algorithm for transient sounds is introduced. Input sounds are first projected onto orthogonal bases from which intermediate or novel sounds can be generated. The proposed algorithm uses a shift invariant version of discrete wavelet transform and the singular value decomposition (SVD) to represent the input sound signals over a set of orthogonal bases. Interpolation is carried out between the weight vectors from the SVD to produce a new weight vector used for synthesising a new set of wavelet coefficients. The morphed sound is generated by taking the inverse discrete wavelet transform of the combined weighted bases. The proposed algorithm not only generates a range of new sounds, but also represents the input sounds in a more compact fashion.
Subject Keywords
Singular value decomposition
,
Shift-invariant wavelet analysis
,
Interpolation
,
sound synthesis
,
Audio morphing
URI
https://hdl.handle.net/11511/29937
DOI
https://doi.org/10.1109/icassp.2009.4959579
Collections
Graduate School of Informatics, Conference / Seminar