TR available

[sjr@eng.cam.ac.uk]

The following technical report is available via FTP, from the
International Computer Science Institute (ftp.icsi.berkeley.edu) and
also the Cambridge Univeristy Engineering Department FTP archive
(svr-ftp.eng.cam.ac.uk).


CONNECTIONIST PROBABILITY ESTIMTAION IN HMM SPEECH RECOGNITION
Steve Renals and Nelson Morgan
International Computer Science Institute
Technical Report TR-92-081

This report is concerned with integrating connectionist networks into
a hidden Markov model (HMM) speech recognition system, This is
achieved through a statistical understanding of connectionist networks
as probability estimators, first elucidated by Herve Bourlard.  We
review the basis of HMM speech recognition, and point out the possible
benefits of incorporating connectionist networks.  We discuss some
issues necessary to the construction of a connectionist HMM
recognition system, and describe the performance of such a system,
including evaluations on the DARPA database, in collaboration with
Mike Cohen and Horacio Franco of SRI International.  In conclusion, we
show that a connectionist component improves a state of the art HMM
system.
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UK:  The report is available from svr-ftp.eng.cam.ac.uk (129.169.8.1),
     in directory 'reports', file 'renals_icsi92-081.ps.Z'

USA: Available from ftp.icsi.berkeley.edu (128.32.201.7), 
     in directory 'pub/techreports', file 'tr-92-081.ps.Z'

Sample FTP session:

unix% ftp ftp.icsi.berkeley.edu

ftp> binary
ftp> cd pub/techreports
ftp> get tr-92-081.ps.Z
ftp> quit

unix% zcat tr-92-081.ps.Z | lpr

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Steve Renals
Cambridge University Engineering Department
sjr at eng.cam.ac.uk
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