Cart (Loading....) | Create Account
Close category search window
 

Estimation of the spectral envelope of voiced sounds using a penalized likelihood approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Campedel-Oudot, M. ; Dept. TSI/LTCI, Ecole Nat. Superieure des Telecommun., Paris, France ; Cappe, O. ; Moulines, E.

Estimation of the spectral envelope (magnitude of the transfer function) of a filter driven by a periodic signal is a long-standing problem in speech and audio processing. Recently, there has been a renewed interest in this issue in connection with the rapid developments of processing techniques based on sinusoidal modeling. In this paper, we introduce a new performance criterion for spectral envelope fitting which is based on the statistical analysis of the behavior of the empirical sinusoidal magnitude estimates. We further show that penalization is an efficient approach to control the smoothness of the estimation envelope. In low-noise situations, the proposed method can be approximated by a two-step weighted least-squares procedure which also provides an interesting insight into the limitations of the previously proposed “discrete cepstrum” approach. A systematic simulation study confirms that the proposed methods perform significantly better than existing ones for high pitched and noisy signals

Published in:

Speech and Audio Processing, IEEE Transactions on  (Volume:9 ,  Issue: 5 )

Date of Publication:

Jul 2001

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.