Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/32809

Title

Efficient encoding of speech LSF parameters using the Karhunen-Loeve transformation

Author(s)

Vu, Hai Le

Abstract

Line Spectral Frequencies (LSF) provide an alternate parameterization of the analysis and synthesis filters used in Linear Predictive Coding (LPC) of speech. In this paper, a new method of quantization over the LSF vectors using the Karhunen-Loeve transform is presented. The new technique, which operates at about 1.8 kbits/s, has good quality and is not sensitive to quantization noise. When compared with other existing methods, this algorithm is better in terms of robustness and complexity.

Publication type

Journal article

Source

Periodica Polytechnica, Electrical Engineering, Vol. 41, no. 1 (1997), p. 75-83

Publication year

1997

Keyword(s)

Algorithms;  Karhunen Loeve transformation;  Line Spectral Frequencies;  Linear spectral frequencies;  Linear Predictive Coding;  Low bit rate;  LPC;  LSF;  Mathematical transformations;  Spectrum analysis;  Speech coding;  Speech processing

Publisher

Budapesti Muszaki es Gazdasagtudomanyi Egyetem

ISSN

0324-6000

Publisher URL

http://www.pp.bme.hu/ee/

Peer reviewed