Newsgroups: comp.speech
Path: pavo.csi.cam.ac.uk!cam-eng!mjfg
From: mjfg@eng.cam.ac.uk (M. J. F. Gales)
Subject: TR available
Sender: news@eng.cam.ac.uk (Usenet News)
Message-ID: <1993Dec2.103733.8789@eng.cam.ac.uk>
Date: Thu, 2 Dec 1993 10:37:33 GMT
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Organization: Cambridge University Engineering Department, UK
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The following technical report is available by anonymous ftp from the
archive of the Speech, Vision and Robotics Group at the Cambridge
University Engineering Department.

              PMC FOR SPEECH RECOGNITION IN ADDITIVE
                     AND CONVOLUTIONAL NOISE

                   M.J.F. Gales and S.J. Young

               Technical Report CUED/F-INFENG/TR154

	    Cambridge University Engineering Department 
		        Trumpington Street 
		        Cambridge CB2 1PZ 
			     England 


                             Abstract

This paper addresses the problem of speech recognition in the presence of
both additive and convolutional noise. A new scheme is described, which is
a simple extension to the standard Parallel Model Combination (PMC)
technique. A modified `mismatch' function is introduced which accounts for
the effects of convolutional noise.  This `mismatch' function is then used
to estimate the difference in channel conditions between training and test
environments. Having estimated the tilt parameters, Maximum Likelihood (ML)
estimates of the corrupted speech model may be obtained.  The scheme is
evaluated using the NOISEX-92 database. The performance in the presence of
both interfering additive noise and convolutional noise shows only slight
degradation compared with that obtained when no convolutional noise is
present.

************************ How to obtain a copy ************************

a) Via FTP:

unix> ftp svr-ftp.eng.cam.ac.uk
Name: anonymous
Password: (type your email address)
ftp> cd reports
ftp> binary
ftp> get gales_tr154.ps.Z
ftp> quit
unix> uncompress gales_tr154.ps.Z
unix> lpr gales_tr154.ps (or however you print PostScript)

b) Via postal mail:

Request a hardcopy from

M.J.F. Gales
Cambridge University Engineering Department, 
Trumpington Street, 
Cambridge CB2 1PZ,
England.

or email me: mjfg@eng.cam.ac.uk




