Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-25T04:45:18.837Z Has data issue: false hasContentIssue false

The need for a speech corpus

Published online by Cambridge University Press:  14 February 2007

DERMOT F. CAMPBELL
Affiliation:
Digital Media Centre, Dublin Institute of Technology, Dublin, Ireland. [email protected]
CIARAN MCDONNELL
Affiliation:
Digital Media Centre, Dublin Institute of Technology, Dublin, Ireland. [email protected]
MARTI MEINARDI
Affiliation:
School of Languages, Dublin Institute of Technology, Dublin, Ireland. [email protected]
BUNNY RICHARDSON
Affiliation:
Digital Media Centre, Dublin Institute of Technology, Dublin, Ireland. [email protected]

Abstract

This paper outlines the ongoing construction of a speech corpus for use by applied linguists and advanced EFL/ESL students. In the first part, sections 1–4, the need for improvements in the teaching of listening skills and pronunciation practice for EFL/ESL students is noted. It is argued that the use of authentic native-to-native speech is imperative in the teaching/learning process so as to promote social inclusion. The arguments for authentic language learning material and the use of a speech corpus are contextualised within the literature, based mainly on the work of Swan, Brown and McCarthy. The second part, section 5, addresses features of native speech flow which cause difficulties for EFL/ESL students (Brown, Cauldwell) and establishes the need for improvements in the teaching of listening skills. Examples are given of reduced forms characteristic of relaxed native speech, and how these can be made accessible for study using the Dublin Institute of Technology’s slow-down technology, which gives students more time to study native speech features, without tonal distortion. The final part, sections 6–8, introduces a novel Speech Corpus being developed at DIT. It shows the limits of traditional corpora and outlines the general requirements of a Speech Corpus. This tool – which will satisfy the needs of teachers, learners and researchers – will link digitally recorded, natural, native-to-native speech so that each transcript segment will give access to its associated sound file. Users will be able to locate desired speech strings, play, compare and contrast them – and slow them down for more detailed study.

Type
Research Article
Copyright
© 2007 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.)