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|University of Cambridge > Engineering Department > Machine Intelligence Lab|
WSJCAM0 CORPUS AND RECORDING DESCRIPTION
Jeroen Fransen, Dave Pye, Tony Robinson, Phil Woodland and Steve Young
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.
If you have difficulty viewing files that end
which are gzip compressed, then you may be able to find
tools to uncompress them at the gzip
If you have difficulty viewing files that are in PostScript, (ending
'.ps.gz'), then you may be able to
find tools to view them at
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.
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2005 Cambridge University Engineering Dept
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