Speech Enhancement Using Sparse Code Shrinkage and Global Soft Decision
نویسندگان
چکیده
This paper relates to a method of enhancing speech quality by eliminating noise in speech presence intervals as well as in speech absence intervals based on speech absence probability. To determine the speech presence and absence intervals, we utilize the global soft decision. This decision makes the estimated statistical parameters of signal density models more reliable. Based on these parameters the noise suppressor equipped with sparse code shrinkage functions reduces noise considerably in real-time.
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