Switched Scalar Optimal u-law Quantization with Adaptation Performed to both the Variance and the Distribution of Speech Signal
Keywords:Signal processing algorithms, adaptive quantization, speech processing, signal to noise ratio
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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