@InProceedings{salem-EtAl:2017:NLPIR,
  author    = {Salem, Reem  and  Elmahdy, Mohamed  and  Abdennadher, Slim  and  Hamed, Injy},
  title     = {A Game with a Purpose for Automatic Detection of Children's Speech Disabilities using Limited Speech Resources},
  booktitle = {Proceedings of the 1st Workshop on Natural Language Processing and Information Retrieval associated with RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Inc.},
  pages     = {28--34},
  abstract  = {Speech therapists and researchers are becoming more concerned with the use of
	computer-based systems in the therapy of speech disorders. In this paper, we
	propose a computer-based game with a purpose (GWAP) for speech therapy of
	Egyptian speaking children suffering from Dyslalia. Our aim is to detect if a
	certain phoneme is pronounced correctly. An Egyptian Arabic speech corpus has
	been collected. A baseline acoustic model was trained using the Egyptian
	corpus. In order to benefit from existing large amounts of Modern Standard
	Arabic (MSA) resources, MSA acoustic models were adapted with the collected
	Egyptian corpus. An independent testing set that covers common speech disorders
	has been collected for Egyptian speakers. Results show that adapted acoustic
	models give better recognition accuracy which could be relied on in the game
	and that children show more interest in playing the game than in visiting the
	therapist. A noticeable progress in children Dyslalia appeared with the
	proposed system.},
  url       = {https://doi.org/10.26615/978-954-452-038-0_004}
}