MORPHING OF TRANSIENT SOUNDS BASED ON SHIFT-INVARIANT DISCRETE WAVELET TRANSFORM AND SINGULAR VALUE DECOMPOSITION

被引：1
|
作者：
Ahmad, Wasim [1 ]
Hacihabiboglu, Hueseyin [2 ]
Kondoz, Ahmet M. [1 ]
机构：
[1] Univ Surrey, CCSR, I Lab, Guildford GU2 7XH, Surrey, England
[2] Kings Coll London, CDSPR, London WC2R 2LS, England
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年
关键词：
Audio morphing; sound synthesis; interpolation; shift-invariant wavelet analysis; singular value decomposition;
D O I：
10.1109/ICASSP.2009.4959579
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
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.
引用
收藏
页码：297 / +
页数：2
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