aladin

ALADIN

Project information
Abstract: 

 

Voice control of the apparatus that we use in our daily lives is perceived as a luxury. Often, a remote control is even better suited for home automation because we find it easier to push a button than to speak a command. However, for persons with a physical impairment, pushing a button is not always as easy as it is for most people and voice control is a viable solution for them. What is perceived as a luxury for most people can actually mean a significant improvement in the quality of life of a handicapped person.

 

However, vocal interfaces are currently not widely used for assistive devices for several reasons. In ALADIN, we propose an approach that is based on learning and adaptation. The interface should learn what the user means with commands, which words he/she uses and what his/her vocal characteristics are. Users should formulate commands as they like, using the words they like and only addressing the functionality they are interested in. Learning takes place by using the device, i.e. by mining the vocal commands and the change they provoke to the device.

Period: 
01/01/2011 - 31/12/2014
Sponsor(s): 

IWT, Agentschap voor Innovatie door Wetenschap en Technologie

Job Opening: Computational Linguist (Doctoral Grant)

in

The CLiPS – Computational Linguistics Group (University of Antwerp, Belgium) has a PhD position available (doctoral grant, three years) in the ALADIN project (Adaptation and Learning for Assistive Domestic Vocal Interfaces).

Assignment

New PhD student Janneke van de Loo

in

CLiPS welcomes a new PhD student, Janneke van de Loo, who will be working on automated grammar induction in the framework of the ALADIN project (funded by IWT-SBO).

van de Loo, J., De Pauw G., Gemmeke J. F., Karsmakers P., Van Den Broeck B., Daelemans W., et al. (2012).  Towards Shallow Grammar Induction for an Adaptive Assistive Vocal Interface: a Concept Tagging Approach. Proceedings of the Workshop on Natural Language Processing for Improving Textual Accessibility (NLP4ITA). 27-34. PDF
Syndicate content