Title

Gradient Techniques For Voiced/Unvoiced Speech Signal Representation Using Mixed Transforms

Abstract

A technique is proposed for signal representation using partial sets of different transforms which are not in general, orthogonal with respect to each other. First, the residual error, which is the difference between the original signal and the reconstructed signal is properly formulated. Then, two gradient techniques are developed to minimize this error and maximize the Signal to Noise ratio of the reconstructed signal using a given total number of transform components in the constrained representation. Sample results using this approach for representing speech signals employing the mixed Fourier/Walsh and Fourier/Haar are given to illustrate the accuracy and effectivenesss of the technique.

Publication Date

1-1-1992

Publication Title

Proceedings - IEEE International Symposium on Circuits and Systems

Volume

3

Number of Pages

1467-1470

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ISCAS.1992.230224

Socpus ID

84941608073 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84941608073

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