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

Spectral estimation performance of circular linear prediction modeling for real-speech signals

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

2 Author(s)
Ertan, A.E. ; Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA ; Barnwell, T.P., III

Previously, we introduced a windowless linear-prediction method known as circular linear prediction (CLP) modeling for pitch-synchronous analysis of the speech spectrum and presented its spectral modeling properties using synthetic speech signals. In this paper, we discuss how the CLP method and its multicycle generalization can be used with real speech signals. We also present the CLP methods' spectral estimation performance using real speech. As was the case for synthetic speech, these experiments proved that the CLP method has superior spectral estimation accuracy at onsets and has similar estimation performance to the autocorrelation method in stationary regions. We also observed that the multicycle generalization of the CLP method is required for partially-voiced regions.

Published in:

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on  (Volume:1 )

Date of Conference:

7-10 Nov. 2004

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.