Abstrakt
Traditional Danish reading training for dyslexic readers typically involves the presence of a professional reading therapist for guidance, advice and evaluation. Allowing dyslexic readers to train their reading skills on their own could not only benefit the dyslexics themselves in terms of increased flexibility but could also allow professional therapists to increase the amount of dyslexic readers to whom they have a professional contact. It is envisioned that an automated reading training tool operating on the basis of ASR could provide dyslexic users with such independence. However, only limited experience in handling dyslexic input (in Danish) by a speech recognizer exists currently. This paper reports on the establishment of a speech corpus of Danish dyslexic speech along with an annotation here of and the setup of a proof-of-concept training tool allowing dyslexic users to improve their reading skills on their own. Despite relatively limited ASR performance, a usability evaluation by dyslexic users shows an unconditional belief in the fairness of the system and indicates furthermore willingness for using such a training tool.
Originalsprog | Engelsk |
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Titel | Proceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010 |
Redaktører | Daniel Tapias, Irene Russo, Olivier Hamon, Stelios Piperidis, Nicoletta Calzolari, Khalid Choukri, Joseph Mariani, Helene Mazo, Bente Maegaard, Jan Odijk, Mike Rosner |
Antal sider | 4 |
Forlag | European Language Resources Association (ELRA) |
Publikationsdato | 1 jan. 2010 |
Sider | 2820-2823 |
ISBN (Elektronisk) | 2951740867, 9782951740860 |
Status | Udgivet - 1 jan. 2010 |
Begivenhed | 7th International Conference on Language Resources and Evaluation, LREC 2010 - Valletta, Malta Varighed: 17 maj 2010 → 23 maj 2010 |
Konference
Konference | 7th International Conference on Language Resources and Evaluation, LREC 2010 |
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Land/Område | Malta |
By | Valletta |
Periode | 17/05/2010 → 23/05/2010 |
Sponsor | CELI - Language and Information Technology, European Media Laboratory GmbH (EML), IMMI, Meta, Quaero |