By Topic

A new discrete spectral modeling method and an application to CELP coding

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)
Bo Wei ; Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA ; Gibson, J.D.

In this letter, a new discrete spectral modeling method is proposed based on a comparison of distance measure performance in an adaptive filtering context. It is shown that a new fast converging adaptive algorithm yields a more accurate estimate of the spectral envelope of the speech spectrum by minimizing COSH distance rather than the Itakura-Saito distance measure. We apply discrete spectral all-pole modeling to code-excited linear predictive coding by refining the short-term synthesis filter coefficients originally obtained by the linear prediction method. Simulation results show the enhanced harmonic and formant structure in the speech spectrum and that better speech quality is obtained.

Published in:

Signal Processing Letters, IEEE  (Volume:10 ,  Issue: 4 )