A speech corpus for dyslexic reading training

Jakob Schou Pedersen, Lars Bo Larsen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)


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.

TitelProceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010
RedaktørerDaniel Tapias, Irene Russo, Olivier Hamon, Stelios Piperidis, Nicoletta Calzolari, Khalid Choukri, Joseph Mariani, Helene Mazo, Bente Maegaard, Jan Odijk, Mike Rosner
Antal sider4
ForlagEuropean Language Resources Association (ELRA)
Publikationsdato1 jan. 2010
ISBN (Elektronisk)2951740867, 9782951740860
StatusUdgivet - 1 jan. 2010
Begivenhed7th International Conference on Language Resources and Evaluation, LREC 2010 - Valletta, Malta
Varighed: 17 maj 201023 maj 2010


Konference7th International Conference on Language Resources and Evaluation, LREC 2010
SponsorCELI - Language and Information Technology, European Media Laboratory GmbH (EML), IMMI, Meta, Quaero


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