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

Abstract for hain_eurospeech99

Proc Eurospeech , Sep. 1999, Budapest

DYNAMIC HMM SELECTION FOR CONTINUOUS SPEECH RECOGNITION

T. Hain & P.C. Woodland

Sep 1999

In this paper we propose a dynamic model selection technique based on hidden model sequences (HMS). HMS modelling assumes, that not only the actual state sequence is unknown, but also the model sequence given a particular sentence. This allows more than one model to be used for a particular phone in a certain context. The most appropriate model is determined locally rather than a priori globally by the acoustic probability of that model together with a probability that this model is produced in a particular phone (or model) context. Experiments on the Resource Management corpus show significant improvements in word error rate over phonetically model-- and state--tied triphone hidden Markov models (HMMs). Initial results on the Switchboard corpus also show improvements on a much more difficult task.


(ftp:) hain_eurospeech99.ps.gz (http:) hain_eurospeech99.ps.gz
PDF (automatically generated from original PostScript document - may be badly aliased on screen):
  (ftp:) hain_eurospeech99.pdf | (http:) hain_eurospeech99.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