On the estimation error associated with the autocorrelation method LPC estimate

Author

Attili, Joseph B. ; Anderson, John B. ; Savic, Michael

Author_Institution

PAR Technol. Corp., New Hartford, NY, USA

fYear

1988

fDate

12-15 June 1988

Firstpage

1608

Abstract

The performance of the autocorrelation method of analysis is evaluated along with the effects that certain attributes (e.g. frame length, etc.) have on this performance. Theoretical lower bounds on the mean-square estimation error are derived for linear productive coding (LPC) coefficients and for the vocal-tract filter gain. It is shown that a significant amount of the variability of measured parameters from real speech is due to estimation uncertainty. A speaker recognition experiment is conducted to demonstrate that better recognition accuracy can be achieved by using longer frame lengths.<>

Keywords

coding errors; correlation methods; encoding; filtering and prediction theory; speech analysis and processing; speech recognition; LPC coefficients; LPC estimate; autocorrelation method; estimation uncertainty; frame length; linear productive coding; lower bounds; mean-square estimation error; measured parameters; recognition accuracy; speaker recognition experiment; vocal-tract filter gain; Autocorrelation; Equations; Estimation error; Filters; Linear predictive coding; Performance analysis; Robustness; Speaker recognition; Speech analysis; Speech enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1988. ICC '88. Digital Technology - Spanning the Universe. Conference Record., IEEE International Conference on

Conference_Location

Philadelphia, PA, USA

Type

conf

DOI

10.1109/ICC.1988.13820

Filename

13820