Jonathan Huyghe
ABSTRACT
This demo will demonstrate the ALADIN adaptive voice interface, which was designed to aid people with motor disabilities. As these people often experience problems with conventional button or switch-based interfaces, but often also suffer from speech impairments, a self-learning speech recognition system was developed. To support the system, a tablet-based companion interface was designed. The demo will present a working prototype of the speech system that can optionally be trained by conference attendees to recognize their own language or dialect, as well as the tablet interface and an interactive 3D recreation of a home environment used during user testing.
- Christensen, H., Casanuevo, I., Cunningham, S., Green, P., Hain, T. homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition. SLPAT 2013, 4th Workshop on Speech and Language Processing for Assistive Technologies. Grenoble, France, 29--34.Google Scholar
- Derboven, J., Huyghe, J., De Grooff, D. (2014) Designing Voice Interaction for People with Physical and Speech Impairments. To appear in: Proc. NordiCHI 2014. New York, NY: ACM Press. Google ScholarDigital Library
- Gemmeke, J. F., Ons, B., Tessema, N., Van Hamme, H., Van de Loo, J., De Pauw, G., Daelemans, W., Huyghe, J., Derboven, J., Vuegen, L., Van Den Broeck, B., Karsmakers, P., Vanrumste, B. Self-taught assistive vocal interfaces: An overview of the ALADIN project. In Proc. INTERSPEECH 2013, 2038--2043.Google Scholar
- Wacharamanotham, C., Hurtmanns, J., Mertens, A., Kronenbuerger, M., Schlick, C., and Borchers, J. 2011. Evaluating swabbing: a touchscreen input method for elderly users with tremor. In Proc. CHI '11. ACM, New York, NY, USA, 623--626. Google ScholarDigital Library
Index Terms
- ALADIN: demo of a multimodal adaptive voice interface
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