Bayesian adaptive shrinkage in independent component domain

Qinghua Huang; Jie Yang

doi:10.1049/el:20063458

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Bayesian adaptive shrinkage in independent component domain

Qinghua Huang Jie Yang

Year: 2006 Journal: Electronics Letters Vol: 42 (1)Pages: 58-59 Publisher: Institution of Engineering and Technology

DOI: 10.1049/el:20063458

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Abstract

A new Bayesian adaptive shrinkage for speech denoising in the independent component domain is proposed. Experiments on real speech contaminated by Gaussian noise demonstrated the presented method outperforms other denoising techniques.

Keywords:

Shrinkage Component (thermodynamics) Bayesian probability Noise reduction Computer science Domain (mathematical analysis) Noise (video) Gaussian Independent component analysis Shrinkage estimator Gaussian noise Pattern recognition (psychology) Artificial intelligence Component analysis Speech recognition Mathematics Machine learning Statistics Mean squared error

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Topics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Bayesian adaptive shrinkage in independent component domain

Abstract

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