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Switched Scalar Optimal -law Quantization with Adaptation Performed to both the Variance and the Distribution of Speech Signal
Author(s) -
Goran Petković,
Zoran Perić,
Leonid Stoimenov
Publication year - 2016
Publication title -
elektronika ir elektrotechnika
Language(s) - English
Resource type - Journals
eISSN - 2029-5731
pISSN - 1392-1215
DOI - 10.5755/j01.eee.22.1.14111
Subject(s) - quantization (signal processing) , scalar (mathematics) , adaptation (eye) , speech recognition , computer science , algorithm , mathematics , control theory (sociology) , physics , artificial intelligence , geometry , control (management) , optics
This paper proposes a new model of switching scalar quantization that besides the usual adaptation to the variance uses a switching technique for adaptation to the distribution of the speech signal source. By applying the new model a smaller quantization errors achieved in comparison to the conventional models with a usual adaptation

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