ELRA - ELRA-U-S 0123 : WSJCAM0

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Catalog Reference : ELRA-U-S 0123

WSJCAM0

The WSJCAM0 is the UK English equivalent of a subset of the US American English WSJ0 database. The recorded material was taken from the Wall Street Journal (WSJ) text corpus.
It consists of speaker-independent read material, split into training, development test and evaluation test sets.

Training material for speech recognition algorithms: 90 utterances from each of 92 speakers.

Testing material: 40 utterances from each of 48 speakers, they contain only words from a fixed 5,000 word vocabulary of 40 sentences from the 64,000 word vocabulary.

Adaptation set: each of the 140 speakers also recorded a common set of 18 adaptation sentences.

Recording material: a far-field desk microphone (Canford C100PB) and a head-mounted close-talking microphone Sennheiser HMD414-6.
Recording environment: quiet room.

Audio files come with orthographic transcriptions and automatically generated phone and word alignments.

WSJCAM0 stands for Wall Street Journal recorded at the University of CAMbridge (phase 0).

Applications

	Applications possible : Speech recognition#Speech synthesis
application Area : Research

Contents

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speech corpus
Language(s) : English (United Kingdom)
Source Channel : Microphone
Speech Acquisition Mode : Acoustic
Transcription Entries : Orthographic