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A Low Complexity Parabolic Lip Contour Model With Speaker Normalization For High-Level
 

Summary: 1
A Low Complexity Parabolic Lip Contour Model
With Speaker Normalization For High-Level
Feature Extraction in Noise Robust Audio-Visual
Speech Recognition
Bengt J. Borgstršom, Student Member, IEEE, and Abeer Alwan, Senior Member, IEEE
Abstract-- This paper proposes a novel low complexity
lip contour model for high-level optic feature extraction
in noise robust AV-ASR systems. The model is based on
weighted least-squares parabolic fitting of the upper and
lower lip contours and does not require the assumption
of symmetry across the horizontal axis of the mouth, and
therefore is realistic. The proposed model does not depend
on accurate estimation of specific facial points, as do other
high-level models. Also, we present a novel low complexity
algorithm for speaker normalization of the optic informa-
tion stream, which is compatible with the proposed model,
and which does not require parameter training. Use of
the proposed model with speaker normalization results
in noise robustness improvement in isolated audio-visual

  

Source: Alwan, Abeer - Electrical Engineering Department, University of California at Los Angeles

 

Collections: Computer Technologies and Information Sciences