Underdetermined separation of speech mixture based on sparse Bayesian learning

DOI10.1155/2016/3982360zbMath1400.62118OpenAlexW2536514657WikidataQ59131225 ScholiaQ59131225MaRDI QIDQ1793106

Lifan Zhao, Xiumei Li, Guoan Bi, Luyun Wang, Zhe Wang

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/3982360

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15)

Uses Software

• PDCO
• BSS Eval

Cites Work

• Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors
• Statistical properties of the generalized inverse Gaussian distribution
• Atomic Decomposition by Basis Pursuit
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
• Probing the Pareto Frontier for Basis Pursuit Solutions
• Atomic Decomposition by Basis Pursuit
• 10.1162/15324430152748236
• Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing
• Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• Blind Separation of Speech Mixtures via Time-Frequency Masking
• Sparse Bayesian Learning for Basis Selection
• Bayesian Compressive Sensing Using Laplace Priors

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