Vector quantization of excitation in speech coding

摘要

In this paper, we consider vector quantizationof excitation gains in code-excited linear predictive (CELP) speech coder using the average error in reconstruction of the excitation signal as the distortion measure and use the same measure to design the codebooks. We have derived a generalized Lloyd's algorithm (GLA) to design codebook for quantization so that the average of the above criterion over the training vectors is minimized.