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

Conference Name

IEEE International Conference on Acoustics, Speech and Signal Processing

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

W. Ahmad, H. Hacıhabiboğlu, and a. kondoz, “Morphing of transient sounds based on shift invariant discrete wavelet transform and singular value decomposition,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, TAIWAN, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/29937.