Title :
A new parametric formulation for linear predictive coding
Author :
Pillai, S. Radhakrishnan ; Oh, Hyun Seok ; Akansu, Ali
Author_Institution :
Dept. of Electr. Eng., James Cook Univ. of North Queensland, Townsville, Qld., Australia
Abstract :
This paper introduces a new parametric formulation to linear predictive coding (LPC). Instead of the usual linear prediction filter coefficients, a new scheme similar to the line spectral frequencies (LSF), that is insensitive to quantization is proposed. However, in the present case, unlike the LSF scheme, an additional positive weighting factor gives extra freedom for coding. This new representation for LPC modeling is shown to be always stable under quantization
Keywords :
linear predictive coding; quantisation (signal); spectral analysis; speech coding; line spectral frequencies; linear predictive coding; parametric formulation; positive weighting factor; quantization insensitivity; quantization stability; Australia; Eigenvalues and eigenfunctions; Frequency; Linear predictive coding; Mean square error methods; Nonlinear filters; Polynomials; Quantization; Robustness; Stochastic processes;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.519076
