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

Abstract for nock_euro97

Proc Eurospeech 1997, Rhodes, Greece pp 111-114

A COMPARATIVE STUDY OF METHODS FOR PHONETIC DECISION-TREE STATE CLUSTERING

H.J. Nock, M.J.F. Gales and S.J. Young

September 1997

Phonetic decision trees have been widely used for obtaining robust context-dependent models in HMM-based systems. There are five key issues to consider when constructing phonetic decision trees: the alignment of data with the chosen phone classes; the quality of the modelling of the underlying data; the choice of partitioning method at each node; the goodness-of-split criterion and the method for determining appropriate tree sizes. A popular existing method uses efficient but crude approximate methods for each of these. This paper introduces and evaluates more detailed alternatives to the standard approximations.


(ftp:) nock_euro97.ps.Z (http:) nock_euro97.ps.Z
PDF (automatically generated from original PostScript document - may be badly aliased on screen):
  (ftp:) nock_euro97.pdf | (http:) nock_euro97.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