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https://hdl.handle.net/2142/47031
Description
Title
Maximum Kurtosis Noise Cancellation Technique
Author(s)
Hu, Dan
Contributor(s)
Jones, Douglas L.
Issue Date
2009-05
Keyword(s)
speech enhancement
noise cancellation
blind source separation
beamforming
kurtosis
speech recovery algorithms
Abstract
Over the past decades, there has been considerable research attention on speech enhancement techniques. This study explores a few typical noise-cancellation algorithms and reviews an innovative method which combines approaches from the Blind Source Separation (BSS) class and the Beamforming class. Many speech-recovery applications deal with extracting a high-kurtosis speech source from low-kurtosis, non-stationary environmental noise. The speech-recovery technique discussed in this paper uses the maximum-kurtosis distortionless response (MKDR) algorithm in estimating the source-to-microphone response and applies the Minimum Variance Distortionless Response (MVDR) beamformer to recover the speech. This paper suggests a fast practical implementation of the MVDR algorithm and examines its speech-enhancement performance via Matlab simulation. Finally, we extend our discussion to commercial applications by constructing a two-microphone, small-aperture cell-phone model and test the algorithm with real-world recordings.
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