A new segment quantizer for line spectral frequencies using Lempel-Ziv algorithm [speech coding applications]

This paper presents a new segment quantization method, which is based upon the Lempel-Ziv algorithm, and it is applied to quantize LSF segments of speech signals. The proposed quantizer is compared with other practical coders such as the G.729 and the MELP, by substituting those original LSF quantizers with the proposed segment quantizer. As a result, at the same cepstral distortion, nine bits per frame were saved compared with the scalar quantizer of the MELP (25 bits/frame), and three bits per frame were saved compared with the MA prediction VQ of the G.729 (18 bits/frame), respectively.