发明名称 |
Denoising mechanism for speech signals using embedded thresholds and an analysis dictionary |
摘要 |
A denoising mechanism uses chosen signal classes and selected analysis dictionaries. The chosen signal class includes a collection of signals. The analysis dictionaries describe signals. The embedding threshold value is initially determined for a training set of signals in the chosen signal class. The update signal is initialized with a signal corrupted by noise. The estimate calculated by: computing coefficients for the updated signal using the analysis dictionaries; computing an embedding index for each of the path(s); extracting a coefficient subset from coefficients for the path(s) whose embedding index exceeds an embedding threshold; adding a coefficient subset to a coefficient collection; generating a partial estimate using the coefficient collection; creating an attenuated partial estimate by attenuating the partial estimate by an attenuation factor; updating the updated signal by subtracting the attenuated partial estimate from the updated signal; and adding the attenuated partial estimate to the estimate.
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申请公布号 |
US7424463(B1) |
申请公布日期 |
2008.09.09 |
申请号 |
US20050106669 |
申请日期 |
2005.04.15 |
申请人 |
GEORGE MASON INTELLECTUAL PROPERTIES, INC.;UNIVERSITY OF MARYLAND |
发明人 |
NAPOLETANI DOMENICO;BERENSTEIN CARLOS A.;SAUER TIMOTHY;STRUPPA DANIELE C.;WALNUT DAVID |
分类号 |
G06E1/00;G06E3/00 |
主分类号 |
G06E1/00 |
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