Aihara, R., Takiguchi, T., & Ariki, Y. (2013). Individuality-preserving voice conversion for articulation disorders using locality-constrained NMF. In
SLPAT 2013, Fourth Workshop On Speech and Language Processing for Assistive Technologies
, Grenoble.
Beukelman, D., Fager, S., & Nodness, A. (2011). Communication support for people with ALS.
Neurology Research International
.
.
Clapham, R., Middag, C., Hilgers, F., Martens, J.-P., Van den Brekel, M., & Van Son, R. (2014). Developing automatic articulation, phonation and accent assessment techniques for speakers treated for advanced head and neck cancer. Speech Communication, 591, 44–54.
Fraser, K., Rudzicz, F., Graham, N., & Rochon, E. (2013). Automatic speech recognition in the diagnosis of primary progressive aphasia. In
SLPAT 2013, Fourth Workshop On Speech and Language Processing for Assistive Technologies
, Grenoble.
Govaerts, P., Daemers, K., Yperman, M., Beukelaer, C. de, Saegher, C. de, & Ceulaer, G. de. (2006). Auditory speech sounds evaluation (A§E®): A new test to assess detection, discrimination and identification in hearing impairment. Cochlear Implants International, 7(2), 92–10.
Hamidi, F., & Baljko, M. (2013). Automatic speech recognition: A shifted role in early speech intervention? In
SLPAT 2013, Fourth Workshop On Speech and Language Processing for Assistive Technologies
, Grenoble.
Hill, A., & Theodoros, D. (2002). Research into telehealth applications in speech-language pathology. Journal of Telemedicine and Telecare, 8(4), 187–196.
Mathy, P. (n.d.). Amyotrophic Lateral Sclerosis: A challenge for Speech-Language Pathology. Retrieved from [URL].
Middag, C., Martens, J-P., Van Nuffelen, G., & De Bodt, M. (2009). Automated intelligibility assessment of pathological speech using phonological features. Eurasip Journal on Advances in Signal Processing. Vol 20091, Article ID 629030, 9 pages.
Middag, C., Clapham, R., Son, R. van, & Martens, J-P. (2012). Robust automatic intelligibility assessment techniques evaluated on speakers treated for head and neck cancer. Computer Speech and Language, 28(2), 467–482.
Ruiter, M.B., Beijer, L.J., Cucchiarini, C., Krahmer, E.J., Rietveld, T.C.M., Strik, H., & Van Hamme, H. (2012). Human language technology and communicative disabilities: Requirements and possibilities for the future. Language Resources and Evaluation, 46(1), 143–151.
Vaerenberg, B., De Ceulaer, G., Szlávik, Z., Mancini, P., Buechner, A., & Govaerts, P.J. (2014). Setting and reaching targets with computer-assisted cochlear implant planning. Scientific World Journal, Article ID 646590: 1–8.
Van den Heuvel, H., Sanders, E., Klatter, J., Van Hout, R., Fikkert, P., Baker, A., De Jong, J., Wijnen, F., & Trilsbeek, P. (2014). Data curation for a VALID Archive of Dutch Language Impairment Data. Dutch Journal of Applied Linguistics, 3(2), 127–135.
Van Nuffelen, G., Middag, C., De Bodt, M., & Martens, J-P. (2009). Speech technology-based assessment of phoneme intelligibility in dysarthria. International Journal of Language and Communication Disorders, 44(5), 716–730.
Veaux, C., Yamagishi, J., & King, S. (2013). Towards personalised synthesised voices for individuals with vocal disabilities: Voice banking and reconstruction. In
SLPAT 2013, Fourth Workshop On Speech and Language Processing for Assistive Technologies
, Grenoble.
Yorkston, K.M., Miller, R.M., & Strand, E.A. (2004).
Management of speech and swallowing disorders in degenerative diseases
. Austin, Texas (USA): Pro-Ed.
Yorkston, K.M., Strand, E., Miller, R., Hillel, A., & Smith, K. (1993). Speech deterioration in amyotophic lateral sclerosis: Implications for the timing of intervention. Journal of Medical Speech and Language Pathology, 1(1), 35–46.