- -

A freely-available authoring system for browser-based CALL with speech recognition

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

A freely-available authoring system for browser-based CALL with speech recognition

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author O'Brien, Myles es_ES
dc.date.accessioned 2017-07-04T10:38:01Z
dc.date.available 2017-07-04T10:38:01Z
dc.date.issued 2017-04-28
dc.identifier.uri http://hdl.handle.net/10251/84412
dc.description.abstract [EN] A system for authoring browser-based CALL material incorporating Google speech recognition has been developed and made freely available for download. The system provides a teacher with a simple way to set up CALL material, including an optional image, sound or video, which will elicit spoken (and/or typed) answers from the user and check them against a list of specified permitted answers, giving feedback with hints when necessary. The teacher needs no HTML or Javascript expertise, just the facilities and ability to edit text files and upload to the Internet. The structure and functioning of the system are explained in detail, and some suggestions are given for practical use. Finally, some of its limitations are described. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof The EuroCALL Review
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Automatic speech recognition es_ES
dc.subject CALL authoring tool es_ES
dc.subject Computer assisted language learning es_ES
dc.subject Google speech API es_ES
dc.title A freely-available authoring system for browser-based CALL with speech recognition es_ES
dc.type Artículo es_ES
dc.date.updated 2017-07-04T10:29:31Z
dc.identifier.doi 10.4995/eurocall.2017.6830
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation O'brien, M. (2017). A freely-available authoring system for browser-based CALL with speech recognition. The EuroCALL Review. 25(1):16-25. https://doi.org/10.4995/eurocall.2017.6830 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/eurocall.2017.6830 es_ES
dc.description.upvformatpinicio 16 es_ES
dc.description.upvformatpfin 25 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 25
dc.description.issue 1
dc.identifier.eissn 1695-2618
dc.description.references Aist, G., (1999). Speech recognition in Computer-Assisted Language Learning. In Cameron, K. (Ed.), CALL: Media, design & applications (pp. 165-181). Lisse: Swets & Zeitlinger. es_ES
dc.description.references Bernstein, J., Najmi, A., Ehsani, F. (1999). Subarashii: Encounters in Japanese Spoken Language Education. CALICO Journal, 16(3), 361-384. Retrieved from https://calico.org/html/article_619.pdf. es_ES
dc.description.references Bernstein, J., Van Moere, A., & Cheng, J. (2010). Validating automated speaking tests. Language Testing, 27(3), 355-377. doi:10.1177/0265532210364404 es_ES
dc.description.references Ellis, R. (2008). A typology of written corrective feedback types. ELT Journal, 63(2), 97-107. doi:10.1093/elt/ccn023 es_ES
dc.description.references Eskenazi, M. (1999). Using automatic speech processing for foreign language pronunciation tutoring: Some issues and a prototype. Language Learning & Technology, 2(2), 62-76. es_ES
dc.description.references Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L., & Freynik, S. (2012). Technologies for foreign language learning: a review of technology types and their effectiveness. Computer Assisted Language Learning, 27(1), 70-105. doi:10.1080/09588221.2012.700315 es_ES
dc.description.references Guénette, D. (2007). Is feedback pedagogically correct? Journal of Second Language Writing, 16(1), 40-53. doi:10.1016/j.jslw.2007.01.001 es_ES
dc.description.references Levy, M. & Stockwell, G. (2006). CALL dimensions: Options and issues in computer-assisted language learning. Mahwah, NJ: Lawrence Erlbaum Associates. es_ES
dc.description.references Munro, M. J. (2011). Intelligibility: Buzzword or buzzworthy? In. J. Levis & K. LeVelle (Eds.). Proceedings of the 2nd Pronunciation in Second Language Learning and Teaching Conference, Sept. 2010. (pp.7-16),Ames,IA: Iowa State University. Retrieved from http://jlevis.public.iastate.edu/2010%20Proceedings%2010-25-11%20-%20B.pdf es_ES
dc.description.references De Vries, B. P., Cucchiarini, C., Bodnar, S., Strik, H., & van Hout, R. (2014). Spoken grammar practice and feedback in an ASR-based CALL system. Computer Assisted Language Learning, 28(6), 550-576. doi:10.1080/09588221.2014.889713 es_ES
dc.description.references Strick, H. (2012). ASR-based systems for language learning and therapy. In O. Engwall (Ed.), Proceedings of the International Symposium on Automatic Detection of Errors in Pronunciation Training (pp. 9-20). Retrieved from http://www.speech.kth.se/isadept/ISADEPT-proceedings.pdf. es_ES
dc.description.references Van Doremalen, J., Boves, L., Colpaert, J., Cucchiarini, C., & Strik, H. (2016). Evaluating automatic speech recognition-based language learning systems: a case study. Computer Assisted Language Learning, 29(4), 833-851. doi:10.1080/09588221.2016.1167090 es_ES
dc.description.references Witt, S.M. (2012). Automatic Error Detection in Pronunciation Training: Where we are and where we need to go. In O. Engwall (Ed.), Proceedings of the International Symposium on Automatic Detection of Errors in Pronunciation Training (pp. 1-8). Retrieved from http://www.speech.kth.se/isadept/ISADEPT-proceedings.pdf. es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem