Morphing of Transient Sounds Based on Shift-Invariant Discrete Wavelet Transform and Singular Value Decomposition

Ahmad, W. , Hacihabiboglu, H. and Kondoz, A. M. (2009) Morphing of Transient Sounds Based on Shift-Invariant Discrete Wavelet Transform and Singular Value Decomposition. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009), Taipei, Taiwan, 19-24 April 2009, pp. 297-300. ISBN 9781424423538 (doi: 10.1109/ICASSP.2009.4959579)

Abstract

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ahmad, Dr Wasim
• Authors: Ahmad, W., Hacihabiboglu, H., and Kondoz, A. M.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISSN: 1520-6149
• ISBN: 9781424423538