Summary of the paper
| Title | The DISCO ASR-based CALL system: practicing L2 oral skills and beyond |
|---|---|
| Authors | Helmer Strik, Jozef Colpaert, Joost Van Doremalen and 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. |
| Topics | Speech Recognition/Understanding, Speech resource/database, Tools, systems, applications |
Full paper  |
The DISCO ASR-based CALL system: practicing L2 oral skills and beyond |
| Bibtex | @InProceedings{STRIK12.787, author = {Helmer Strik and Jozef Colpaert and Joost Van Doremalen and Catia Cucchiarini}, title = {The DISCO ASR-based CALL system: practicing L2 oral skills and beyond}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |