Efficient Spectral Magnitude Quantisation for High-Quality Sinusoidal Speech Coders

An efficient method for quantising the magnitude of the LPresidual spectrum is proposed for high quality sinusoidal speech coding. It exploits the intra-frame perceptual preference of the magnitudes using mel-scale-based warping, and the inter-frame statistical correlation of the successive magnitude vectors using predictive coding. A switched quantiser between memoryless and predictive coding schemes is also introduced for the resilience against channel errors while producing performances, in terms of weighted signal to noise ratio, superior to memoryless quantiser and comparable to predictive quantiser. A subjective speech quality test shows its suitability in developing high-quality sinusoidal speech coders.