2001
DOI: 10.1017/s0958344001000714
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Interactive pronunciation training

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 … Show more

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Cited by 18 publications
(13 citation statements)
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“…Finally, we plan to integrate speech recognition technology with animated graphic annotations and immediate visual feedback in JCALL programs for use in future research projects. A recent report aimed at integrating speech recognition technology into a pronunciation training system shows that speech recognition technology can be used to considerable advantage to improve the quality and detail of feedback given to students (Menzel, Herron, Morton, Pezzota, Bonaventura, & Howarth, 2001). We believe that the combination of AGA, IVF, and speech recognition technology will go far in enhancing pronunciation training in second/foreign language learning.…”
Section: Resultsmentioning
confidence: 97%
“…Finally, we plan to integrate speech recognition technology with animated graphic annotations and immediate visual feedback in JCALL programs for use in future research projects. A recent report aimed at integrating speech recognition technology into a pronunciation training system shows that speech recognition technology can be used to considerable advantage to improve the quality and detail of feedback given to students (Menzel, Herron, Morton, Pezzota, Bonaventura, & Howarth, 2001). We believe that the combination of AGA, IVF, and speech recognition technology will go far in enhancing pronunciation training in second/foreign language learning.…”
Section: Resultsmentioning
confidence: 97%
“…The research community has since moved on to creating small context free grammars (CFGs) [4,3,23,32], whose low perplexity ensures robust recognition. Such systems allow the user to have short conversations in small domains, thus providing environments for language learning grounded in current theories of second language acquisition.…”
Section: Automatic Speech Recognition For Second Language Acquisitionmentioning
confidence: 99%
“…The role of automated speech recognition technology in CALL programs has been explored for more than a decade, having been used for pronunciation practice in CALL programs [26][27][28][29] or to help learners with their fluency or conversation skills [16,[30][31][32][33]. Many CALL programs which utilise speech recognition technology for language learning are based on strategies where the learner selects their (spoken) response from a finite list offered by the CALL program itself.…”
Section: Speech Recognition In Callmentioning
confidence: 99%