By Topic

Formant estimation system based on weighted least-squares lattice filters

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
$33 $33
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

A formant estimation system using the adaptive weighted least-squares lattice (WLSL) algorithm and novel formant labelling techniques is presented. In the WLSL, the likelihood variable, which can be considered as a statistical measure of the non-Gaussian component of the speech signal, is used to deweight time intervals in the speech waveform which correspond to glottal excitation. A short analysis window coupled with optimal frame position placement, determined by the local minima of both the likelihood variable and the residual is used to emulate glottis-closure, closed-phase analysis. The algorithm, which can also be considered as a special form of robust linear prediction analysis, offers an improved performance (i.e. a less biased formant frequency) in comparison to the frame-based linear prediction analysis. After formant candidates have been frame extracted from the spectral estimates for each of the waveform, a clustering procedure is first used to produce line segments of possible formants. A rule-based labelling mechanism is then applied to these segments to provide final formant trace estimates. Experimental results show the labelling algorithm proposed offers improved formant labelling accuracy.

Published in:

IEE Proceedings F - Radar and Signal Processing  (Volume:135 ,  Issue: 6 )