Estimation of noise variance from the noisy AR signal and its application in speech enhancement

Author

Paliwal, K.K.

Author_Institution

Comput. Syst. & Commun. Group, Tata Inst. of Fundamental Res., Bombay, India

Volume

36

Issue

2

fYear

1988

fDate

2/1/1988 12:00:00 AM

Firstpage

292

Lastpage

294

Abstract

In a number of applications involving the processing of noisy signals, it is desirable to know a priori the noise variance. The author proposes a method of estimating the noise variance from the autoregressive (AR) signal corrupted by the additive white noise. This method first estimates the AR parameters from the high-order Yule-Walker equations, and then uses these AR parameters to estimate the noise variance from the low-order Yule-Walker equations. The method is used in a speech enhancement application where its performance is studied for stationary as well as nonstationary noise conditions. The results are found to be encouraging

Keywords

signal processing; speech analysis and processing; white noise; AR parameters; additive white noise; autoregressive signal; high-order Yule-Walker equations; low-order Yule-Walker equations; noise variance estimation; noisy AR signal; noisy signals processing; nonstationary noise; speech enhancement; stationary noise; Additive white noise; Autocorrelation; Background noise; Equations; Parameter estimation; Signal analysis; Signal processing; Signal to noise ratio; Speech enhancement; White noise;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.1523

Filename

1523