A New Linear Predictor Employing Vector Quantization in Nonorthogonal Domains for High Quality Speech Coding

摘要

Recently, signal processing in multiple nonorthogonal domains has been reported that further enhances the efficiency of waveform and Linear Prediction (LP) model based signal representation. In this contribution, a novel LP model based coding technique is presented where the advantages of multiple nonorthogonal domain representations of LP coefficients and the prediction residuals are exploited in conjunction with vector quantization to yield considerable LP coding enhancement. The proposed signal coding technique is applied to speech signals and the resulting performance improvement is clearly demonstrated in terms of the reconstruction quality for the same bit rate compared to the existing single domain vector quantization techniques.