Speech dereverberation with multi-channel linear prediction and sparse priors for the desired signal

Ante Jukić; Toon van Waterschoot; Timo Gerkmann; Simon Doclo

doi:10.1109/hscma.2014.6843244

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Speech dereverberation with multi-channel linear prediction and sparse priors for the desired signal

Ante Jukić Toon van Waterschoot Timo Gerkmann Simon Doclo

Year: 2014 Vol: 2005 Pages: 23-26

DOI: 10.1109/hscma.2014.6843244

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Abstract

status: Published

Keywords:

Computer science Speech recognition Reverberation Prior probability Focus (optics) SIGNAL (programming language) Linear prediction Gaussian Parametric statistics Channel (broadcasting) Speech enhancement Artificial intelligence Mathematics Acoustics Noise reduction Statistics

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Topics

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Advanced Adaptive Filtering Techniques

Physical Sciences → Engineering → Computational Mechanics

Hearing Loss and Rehabilitation

Life Sciences → Neuroscience → Cognitive Neuroscience

Speech dereverberation with multi-channel linear prediction and sparse priors for the desired signal

Abstract

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Citation History

Topics

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