Abstract for fransen_tr192

Cambridge University Engineering Department Technical Report CUED/F-INFENG/TR192


Jeroen Fransen, Dave Pye, Tony Robinson, Phil Woodland and Steve Young

September 1994

The speech database described in this document is the UK English equivalent of a subset of the US American English WSJ0 database (Paul and Baker 1992). The name of the UK English version, WSJCAM0, represents the Wall Street Journal recorded at the University of CAMbridge (phase 0). It consists of speaker-independent (SI) read material, split into training, development test and evaluation test sets. There are 90 utterances from each of 92 speakers that are designated as training material for speech recognition algorithms. A further 48 speakers each read 40 sentences utterances containing only words from a fixed 5,000 word vocabulary of 40 sentences from the 64,000 word vocabulary, which will be used as testing material. Each of the total of 140 speakers also recorded a common set of 18 adaptation sentences. Recordings were made from two microphones: a far-field desk microphone and a head-mounted close-talking microphone.

All resulting waveforms will be distributed in compressed digitised form, accompanied by orthographic transcriptions and automatically generated phone and word alignments.

(ftp:) fransen_tr192.ps.Z (http:) fransen_tr192.ps.Z
PDF (automatically generated from original PostScript document - may be badly aliased on screen):
  (ftp:) fransen_tr192.pdf | (http:) fransen_tr192.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.

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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.