Dual-channel noise reduction via sprase representations

An effective dual-channel noise reduction algorithm is proposed based on sparse representations. The algorithm is composed of the following steps. Firstly, overlapping patches sampled from two channels together instead of each channel one by one are trained to be a dictionary via K-SVD. Secondly, OM...

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Bibliographische Detailangaben

Hauptverfasser:	Zou, Jiancheng, Liang, Jingsai, Yang, Xin
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Dictionaries Discrete cosine transforms Dual-Channel Speech Gaussian noise Matching pursuit algorithms Noise reduction Redundant Dictionary Sparse matrices Sparse Represent Speech
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