Speech Recognition
The objective of this project
is to recognize speech signals and to understand simple sentences
through learning. The first phase of the project uses our SHOSLIF
framwork. The second phase uses SAIL.
References
-
J. Weng, Y. B. Lee and C. H. Evans,
``The developmental approach to multimedia speech learning,'' in Proc.
IEEE Int'l Conf. on Acoustics, Speech, and Signal Processing, Phoenix,
Arizona, vol. 6, pp. 3093 - 3096, March 15 - 19, 1999. Download PDF file.
-
J. Weng, ``SHOSLIF: A framework for sensor-based learning
for high-dimensional complex systems,''
invited paper in Proc. IEEE Workshop
on
Architectures for Semiotic Modeling
and situation analysis
in Large Complex Systems, Monterey, CA, Aug. 27-29, 1995.
-
J. Brotherton and J. Weng,
HEARME: Speaker Independent Word Recognition Using SHOSLIF,
MSU-CPS-96-33, Department of Computer Science, Michigan State University,
East Lansing, Michigan, October, 1996.
To Weng's Home Page: http://web.cps.msu.edu/~weng/