Search Contact information
University of Cambridge Home Department of Engineering
University of Cambridge > Engineering Department > Machine Intelligence Lab

Abstract for jones_eurospeech93

EuroSpeech 93

USING RELATIVE DURATION IN LARGE VOCABULARY SPEECH RECOGNITION

M. Jones and P.C. Woodland

June 1993

Current large vocabulary continuous speech recognisers (LVCSR) do not model the effects of speech rate on the speech unit durational characteristics. This paper presents work on the investigation of speech rate, presents three durational models which make use of this rate information and the integration of the models into a TIMIT based LVCSR is described. Although TIMIT contains controlled, read speech, with little speech rate variation, experimental work has shown that the relative duration models produce greater word error rate improvements than models which do not take account of the speech rate.


(ftp:) jones_eurospeech93.ps.Z (http:) jones_eurospeech93.ps.Z
PDF (automatically generated from original PostScript document - may be badly aliased on screen):
  (ftp:) jones_eurospeech93.pdf | (http:) jones_eurospeech93.pdf

If you have difficulty viewing files that end '.gz', which are gzip compressed, then you may be able to find tools to uncompress them at the gzip web site.

If you have difficulty viewing files that are in PostScript, (ending '.ps' or '.ps.gz'), then you may be able to find tools to view them at the gsview web site.

We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.

© 2005 Cambridge University Engineering Dept
Information provided by milab-maintainer