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Integration of sound source localization and separation to improve Dialogue Management on a robot

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4 Author(s)
Maxime Fréchette ; Département de génie électrique et informatique at Université de Sherbrooke, Québec, Canada ; Dominic Létourneau ; Jean-Marc Valin ; François Michaud

To demonstrate the influence of an artificial audition system on speech recognition and dialogue management for a robot, this paper presents a case study involving soft coupling of ManyEars, a sound source localization, tracking and separation system, with the CSLU Dialogue Management system. Trials were conducted in a laboratory and a cafeteria. Results indicate that preprocessing of the audio signals by ManyEars improves speech recognition and dialogue management of the system, demonstrating the feasibility and the added flexibility provided by ManyEars for a robot to interact vocally with humans in a wide variety of contexts.

Published in:

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems

Date of Conference:

7-12 Oct. 2012