Morphing of transient sounds based on shift invariant discrete wavelet transform and singular value decomposition

Ahmad, Wasim
Hacıhabiboğlu, Hüseyin
kondoz, ahmet
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.


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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: