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Alaa Hefnawy
Electronics Research Institute

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Sparse Modeling with Applications to Speech Processing: A Survey Ahmed Omara; Alaa Hefnawy; Abdelhalim Zekry
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i1.pp161-167

Abstract

Nowadays, there has been a growing interest in the study of sparse approximation of signals. Using an over-complete dictionary consisting of prototype signals or atoms, signals are described by sparse linear combinations of these atoms. Applications that use sparse representation are many and include compression, source separation, enhancement, and regularization in inverse problems, feature extraction, and more. This article introduces a literature review of sparse coding applications in the field of speech processing.
Co-Authors Abdelhalim Zekry Ahmed Omara