Paper in NeuroProse: Time Delay Radial Basis Functions.
mb@archsci.arch.su.EDU.AU
mb at archsci.arch.su.EDU.AU
Mon Jun 6 00:13:59 EDT 1994
FTP-host: archive.cis.ohio-state.edu
FTP-filename: /pub/neuroprose/berthold.tdrbf-icnn94.ps.Z
The following paper was placed in the NeuroProse archive (Thanks
to Jordan for maintaining this valuable service!)
to appear in: Proc. ICNN'94, Orlando, Florida
4 pages, sorry no hardcopies available.
A Time Delay Radial Basis Function Network for Phoneme Recognition
Michael R. Berthold
ABSTRACT:
This paper presents the Time Delay Radial Basis Function Network (TDRBF)
for recognition of phonemes. The TDRBF combines features from Time Delay
Neural Networks (TDNN) and Radial Basis Functions (RBF). The ability to
detect acoustic features and their temporal relationship independent of
position in time is inherited from TDNN. The use of RBFs leads to shorter
training times and less parameters to adjust, which makes it easier to
apply TDRBF to new tasks.
The recognition of three phonemes with about 750 training and testing
tokens each was choosen as an evaluation task. The results suggest an
equivalent performance of TDRBF and TDNN presented by Waibel et al., but
TDRBF require much less training time to reach a good performance and in
addition have a clear indication when the minimum error is reached,
therefore no danger of overtraining exists.
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Michael R. Berthold Phone: +61 2 692 3549
Key Centre of Design Computing Fax: +61 2 692 3031
University of Sydney Internet: mb at archsci.arch.su.edu.au
NSW 2006 Australia or: berthold at fzi.de
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