Using a perception-based frequency scale in waveform interpolation

In speech coding it is important to focus the coding effort on the perceptually important features of the speech signal. This paper describes new quantization techniques which take advantage of current knowledge of human perception in speech coders. The new procedures exploit the frequency-dependent frequency resolution of the human auditory system. The methods are applied to the waveform interpolation (WI) coder, and their effectiveness is confirmed with experimental results. The principles described in the paper are not restricted to the WI coder, but are also applicable to many other speech coding algorithms