Vector quantization of speech waveforms

An algorithm for the design of locally optimum vector quantizers relative to a distortion measure is used to design and simulate vector quantizers for both real sampled speech and for speech-like waveforms produced by a tenth order autoregressive random process with matching autocorrelation. Both squared-error and a weighted squared error were considered. The experimental results were compared with performance bounds from rate distortion theory based on the autoregressive model.