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

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Graduate School of Informatics, Conference / Seminar