low-complexity predictive trellis-coded quantization of speech line spectral frequencies

Abstract

Low-complexity block-constrained trellis coded quantization (BC-TCQ) structures are studied and a predictive BC-TCQ encoding method is developed for quantization of line spectrum frequencies (LSF) parameters for speech coding applications. The performance is compared to the linear predictive coding (LPC) vector quantizers used in the AMR-WB (ITU-G.722.2) and IS-641 speech coding standards, demonstrating reduction in spectral distortion and significant reduction in encoding complexity.