My research interests include speech recognition, language modeling, and human-computer interaction (HCI).
In particular, I am interested in how multiple input modalities can be combined to efficiently correct speech recognition errors.
My goal is to utilize the rich information available to the recognizer to enable efficient user-guided correction.
I am also interested in improving the performance, usability, and accessibility of text entry interfaces.
April, 2013 – The new work I'm doing on mobile text entry for the blind and visually-impaired appeared on the front page of the Montana Standard. Montana Tech student Haythem Memmi is working on the project as part of an undergraduate research project funded by NIH-INBRE.