Abstract for knill_icsst

Proc. International Conference on Speech, Science and Technology, Perth, Australia.

KEYWORD TRAINING USING A SINGLE SPOKEN EXAMPLE FOR APPLICATIONS IN AUDIO DOCUMENT RETRIEVAL

Kate Knill and Steve Young

December 1994

An open keyword vocabulary word-spotting system is described for audio document retrieval. To model each keyword, an N-Best recogniser is used to hypothesise the keyword's phonetic transcription based on a single spoken example. The system is evaluated on a database of spoken messages and performance is found to be comparable with that obtained using pronunciations taken from a dictionary.


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