Discrete weighted mean square all-pole modeling

Author

Petrinovic, Davor

Author_Institution

Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Croatia

Volume

1

fYear

2003

fDate

6-10 April 2003

Abstract

The paper presents a new method for all-pole model estimation based on minimization of the weighted mean square error in the sampled spectral domain. Due to discrete nature of the proposed distance measure, emphasis can be put on an arbitrary set of spectral samples what can greatly improve the model accuracy for periodic signals. Weighting can also be applied to improve the fitting in certain spectral regions according to any desired fidelity criterion. Iterative algorithm for determination of the optimal model is proposed and an exceptionally fast convergence rate is demonstrated. Accuracy of the estimation algorithm is verified on an example of a synthetic vowel for a broad range of pitch frequencies.

Keywords

convergence of numerical methods; iterative methods; mean square error methods; minimisation; signal sampling; spectral analysis; speech processing; LPC estimation; all-pole model estimation; discrete weighted mean square all-pole modeling; distance measure; estimation algorithm accuracy; fast convergence rate; fidelity criterion; iterative algorithm; iterative estimation; model accuracy; optimal model; periodic signals; pitch frequencies; sampled spectral domain; spectral regions; spectral samples; synthetic vowel; weighted mean square error minimization; Bandwidth; Convergence; Distortion measurement; Frequency estimation; Frequency response; Iterative algorithms; Linear predictive coding; Mean square error methods; Minimization methods; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1198909

Filename

1198909