Prediction-Based Coding of Speech Signals Using Multiscale Recurrent Patterns

This paper investigates the performance of the multidimensional multiscale parser (MMP) algorithm for speech coding. A new prediction-based scheme is considered, where the MMP algorithm operates on the associated prediction-error signal instead of the original speech signal. Other features are considered, such as: nonuniform quantization of MMP initial dictionary, use of auxiliary dictionary of recent past samples, and quantization/normalization during the dictionary updating stage. It is verified that the resulting MMP scheme, combining all these techniques, at 8 kbps can achieve perceptual objective scores comparable to the ITU-T G.729 codec.