Sixth International Conference on Spoken Language Processing
October 16-20, 2000
A Perception and PDE Based Nonlinear Transformation for Processing Spoken Words
Yingyong Qi (1), Jack Xin (2)
(1) Dept. of Electrical Computer Engineering,
University of Arizona, Tucson, AZ, USA
A perception and PDE (partial dierential equa-
tion) based nonlinear transformation is proposed
to process spoken words in noisy environment.
The transformation was designed to reduce noise
through time adaptation and spectral
enhancement by evolving a focusing quadratic fourth
order nonlinear PDE (the Cahn-Hillard equation).
Constant, low SNR signals were adaptively
decreased to reduce noise. Once the noise
levels were reduced, the evolution of focusing PDE
was used to enhance the spectral peaks, and
further reduce noise interference. Numerical results
on noisy spoken words indicated that the
transformed spectral pattern of the spoken words was
insensitive to nosie. The spectral distances
between noisy words and original words were
significantly reduced after the transformation.
(2)Department of Mathematics and TICAM,
University of Texas at Austin, USA
Qi, Yingyong / Xin, Jack (2000):
"A perception and PDE based nonlinear transformation for processing spoken words",
In ICSLP-2000, vol.1, 445-448.