Design of a TCQ based LSF quantizer for narrowband speech

Abstract

In this paper, low-complexity block-constrained trellis coded quantization (BC-TCQ) structures are introduced, and a predictive BC-TCQ encoding method is developed for quantization of line spectrum frequencies (LSF) parameters for narrowband speech coding applications. The performance is compared to the linear predictive coding (LPC) vector quantizers used in the IS-641 speech coding standard, demonstrating reduction in spectral distortion and significant reduction in encoding complexity