The DISCO ASR-based CALL system: practicing L2 oral skills and beyond
Helmer Strik, Jozef Colpaert, Joost van Doremalen, Catia Cucchiarini
Abstract
In this paper we describe the research that was carried out and the resources that were developed within the DISCO (Development and Integration of Speech technology into COurseware for language learning) project. This project aimed at developing an ASR-based CALL system that automatically detects pronunciation and grammar errors in Dutch L2 speaking and generates appropriate, detailed feedback on the errors detected. We briefly introduce the DISCO system and present its design, architecture and speech recognition modules. We then describe a first evaluation of the complete DISCO system and present some results. The resources generated through DISCO are subsequently described together with possible ways of efficiently generating additional resources in the future.- Anthology ID:
- L12-1465
- Volume:
- Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
- Month:
- May
- Year:
- 2012
- Address:
- Istanbul, Turkey
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2702–2707
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/787_Paper.pdf
- DOI:
- Cite (ACL):
- Helmer Strik, Jozef Colpaert, Joost van Doremalen, and Catia Cucchiarini. 2012. The DISCO ASR-based CALL system: practicing L2 oral skills and beyond. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 2702–2707, Istanbul, Turkey. European Language Resources Association (ELRA).
- Cite (Informal):
- The DISCO ASR-based CALL system: practicing L2 oral skills and beyond (Strik et al., LREC 2012)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/787_Paper.pdf