Efficient Computer Interfaces Using Continuous Gestures, Language Models, and Speech

Keith Vertanen.

Masters of Philosophy in Computer Speech, Text and Internet Technology University of Cambridge July 22nd, 2004.

Despite advances in speech recognition technology, users of dictation systems still face a significant amount of work to correct errors made by the recognizer. The goal of this work is to investigate the use of a continuous gesture-based data entry interface to provide an efficient and fun way for users to correct recognition errors. Towards this goal, techniques are investigated which expand a recognizer’s results to help cover recognition errors. Additionally, models are developed which utilize a speech recognizer’s n-best list to build letter-based language models.

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