Year: 2000
Type: conference-paper
Abstract: For the purpose of developing pronunciation training tools for second language learning a corpus of non-native speech data has been collected, which consists of almost 18 hours of annotated speech signals spoken by Italian and German learners of English.The corpus is based on 250 utterances selected from typical second language learning exercises.It has been annotated at the word and the phone level, to highlight pronunciation errors such as phone realisation problems and misplaced word stress assignments.The data has been used to develop and evaluate several diagnostic components, which can be used to produce corrective feedback of unprecedented detail to a language learner.
Authors: Wolfgang Menzel, Eric Atwell, Patrizia Bonaventura, Daniel Herron, Peter Howarth, Rachel Morton, Clive Souter
Institutions: Universität Hamburg, University of Leeds
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
Funder: European Commission
OpenAlex ID: W1753200545