The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The problem of robust estimation of the linear prediction (LP) parameters for an autoregressive process (AR) in white noise is addressed in this paper. The classical solution to this problem involves using the p low-order Yule-Walker equations and subtracting an estimate of the noise variance from the main diagonal of the correlation matrix. However, this approach lacks robustness against possible...
It is well known that linear predictive coding (LPC) performs well when the prediction coefficients are estimated from noise-free speech, and the system tends to degrade and perform poorly on noisy speech. This paper describes a method to minimize the degradation on the prediction coefficients in the presence of noise when an LPC analysis is used. In this method, a more accurate estimation of noise...
Linear prediction based speech (LPC) analysis is known to be sensitive to the presence of additive noise. In this paper, we present a noise-compensated method for LPC analysis which ensures good spectral matching between the original speech spectrum and the autoregressive (AR) model spectrum. In this method, the noise periodogram is obtained first by applying a simplified noise power spectral density...
It has been shown recently that, for coherence based speech enhancement methods, cross-spectral subtraction is an efficient technique that can reduce the correlated noise components. The zero-phase filtering criterion used by these methods is derived from the standard coherence function that is modified to incorporate the noise cross-power spectrum between input signals. However, there has been partial...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.