A comparison of three methods for coefficient quantization and bit allocation

A comparison of reflection coefficient, log area and inverse sine quantization is presented. The approach makes use of analytically tractable results without numerical approximations or direct frequency domain calculation. By using parameters obtained from a speech data base, specific bit allocations are obtained which insure that a prescribed maximum spectral deviation is not exceeded for each analysis frame. It is shown that overall, inverse sine quantization requires the minimum number of coding levels followed by log area quantization and then reflection coefficients. With the exception of the first two coefficients, however, the differences among the methods are shown to be rather minimal.