TR available: Yet another ANN/HMM hybrid.

[Yoshua BENGIO]

The following technical report is now available by ftp from neuroprose:


Yoshua Bengio, Renato De Mori, Giovanni Flammia, and Ralf Kompe (1990),
"Global Optimization of a Neural Network - Hidden Markov Model Hybrid",
Technical Report TR-SOCS-90.22, December 1990, School of Computer Science,
McGill University.

  
Abstract:


Global Optimization of a Neural Network - Hidden Markov Model Hybrid

   Yoshua Bengio, Renato De Mori, Giovanni Flammia, Ralf Kompe

                    TR-SOCS-90.22, December 1990



In this paper a method for integrating Artificial Neural Networks 
(ANN) with Hidden Markov Models (HMM) is proposed and evaluated. ANNs 
are suitable to perform phonetic classification, whereas HMMs 
have been proven successful at modeling the temporal structure 
of the speech signal. In the approach described here, the ANN 
outputs constitute the sequence of observation vectors for 
the HMM. An algorithm is proposed for global optimization of all 
the parameters.  An incremental design method is described in which 
specialized networks are integrated to the recognition system in order to 
improve its performance. Results on speaker-independent recognition 
experiments using this integrated ANN-HMM system on the TIMIT
continuous speech database are reported.
 

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Copies of the postscript file bengio.hybrid.ps.Z may be obtained from the
pub/neuroprose directory in cheops.cis.ohio-state.edu. Either use the Getps
script or do this:

unix-1> ftp cheops.cis.ohio-state.edu          # (or ftp 128.146.8.62)
Connected to cheops.cis.ohio-state.edu.
Name (cheops.cis.ohio-state.edu:): anonymous
331 Guest login ok, sent ident as password.
Password: neuron
230 Guest login ok, access restrictions apply.
ftp> cd pub/neuroprose
ftp> binary
ftp> get bengio.hybrid.ps.Z
ftp> quit
unix-2> uncompress bengio.hybrid.ps.Z
unix-3> lpr -P(your_local_postscript_printer) bengio.hybrid.ps

Or, order a hardcopy by sending your physical mail address to
yoshua at cs.mcgill.ca, mentioning Technical Report TR-SOCS-90.22. 
PLEASE do this only if you cannot use the ftp method described above.

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