eprintid: 20
rev_number: 4
eprint_status: archive
userid: 4
dir: disk0/00/00/00/20
datestamp: 2004-06-10
lastmod: 2015-05-29 19:45:32
status_changed: 2009-04-08 16:52:02
type: report
metadata_visibility: show
item_issues_count: 0
creators_name: Allwright, D.J.
creators_name: Brown, M.
contributors_name: Eyres, R.
contributors_name: Griffin, T.
contributors_name: Howison, S.D.
contributors_name: Jacobs, R.
contributors_name: Please, C.P.
contributors_name: Rosing, R.
contributors_name: Wilson, E.
title: Generating artificial noise for testing speech recognition systems
ispublished: pub
subjects: transport
studygroups: esgi43
companyname: Jomega Ltd
full_text_status: public
problem_statement: The Study Group was presented with the problem of determining how to generate noise samples appropriate for reliably testing the quality of in-car speech recognition systems. Speech-driven applications are becoming more common in cars and it is important to be able to test how well such systems perform and to identify those aspects of the noise which may cause diffculties for the systems. This requires the characterisation of the noise environment within a car. These characterisations must then be used to efficiently compress the information so that testing can be performed economically.
date: 2002-04
date_type: published
pages: 4
citation:   Allwright, D.J. and Brown, M.  (2002) Generating artificial noise for testing speech recognition systems.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/20/1/Speech.pdf