Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-30T19:01:15.157Z Has data issue: false hasContentIssue false
  • English
  • Français

Interactive pronunciation training

Published online by Cambridge University Press:  06 August 2001

WOLFGANG MENZEL ,
DANIEL HERRON ,
RACHEL MORTON ,
DARIO PEZZOTTA ,
PATRIZIA BONAVENTURA  and
PETER HOWARTH
WOLFGANG MENZEL
Affiliation:
Fachbereich Informatik, Universität Hamburg, Vogt-Koelln-Strasse 30, D-22527 Hamburg, [email protected]
DANIEL HERRON
Affiliation:
Microsoft SDN UK, Compass House, 80–82 Newmarket Road, Cambridge CB5 8DZ, [email protected]
RACHEL MORTON
Affiliation:
Microsoft SDN UK, Compass House, 80–82 Newmarket Road, Cambridge CB5 8DZ, [email protected]
DARIO PEZZOTTA
Affiliation:
Dipartimento di Informatica, Sistemistica e Comunicazione, Università di Milano, Bicocca, Viale Sarca 202, I-20126 Milano, [email protected]
PATRIZIA BONAVENTURA
Affiliation:
Conversa, 5375 NE 90th St., Redmond, WA 98052, [email protected]
PETER HOWARTH
Affiliation:
Language Centre, University of Leeds, Leeds, Yorkshire LS2 9JT, [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Improving the feedback quality of a computer-based system for pronunciation training requires rather detailed and precise knowledge about the place and the nature of actual mispronunciations in a student’s utterance. To be able to provide this kind of information, components for the automatic localisation and correction of pronunciation errors have been developed. This work was part of a project aimed at integrating state-of-the-art speech recognition technology into a pronunciation training environment for adult, intermediate level learners. Although the technologies described here are in principle valid for any language pairs, the current system focuses on Italian and German learners of English.

Type
Research Article
Information
ReCALL , Volume 13 , Issue 1 , May 2001 , pp. 67 - 78
Copyright
© 2001 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)