Dictionary evaluation and optimization for sparse coding based speech processing

DOI10.1016/j.ins.2015.03.010zbMath1391.94235OpenAlexW2079710880MaRDI QIDQ1749610

Jiqing Han, Deyun Chen, Guanglu Sun, Yong-Jun He

Publication date: 17 May 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2015.03.010

zbMATH Keywords

speech recognitionsparse codingdictionary evaluationdictionary optimizationspeech denoising

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• PDCO

Cites Work

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• Atomic Decomposition by Basis Pursuit
• Morphological Component Analysis: An Adaptive Thresholding Strategy
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• From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
• Uncertainty principles and ideal atomic decomposition
• Recursive Least Squares Dictionary Learning Algorithm
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• Sparse Approximate Solutions to Linear Systems
• Matching pursuits with time-frequency dictionaries
• Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property
• For most large underdetermined systems of linear equations the minimal 𝓁₁‐norm solution is also the sparsest solution
• Stable signal recovery from incomplete and inaccurate measurements
• Compressed sensing

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