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Efficient computer interfaces using continuous gestures, language models, and speech

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If you have a question about this talk, please contact Phil Cowans .

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.

This talk is part of the Cavendish Astrophysics Seminars series.

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Online, contact kr526@cam.ac.uk for link Faculty of English, Room GR-06-07 Webinar & LT2, Computer Laboratory, William Gates Building.

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