"CU-move": robust speech processing for in-vehicle speech systems

Abstract

In this paper, we present our recent work in the formulation of a new in-vehicle interactive system for route planning and navigation. The novel aspects presented include the formulation of a new microphone array and multi-channel noise suppression front-end, corpus development for speech and acoustic vehicle conditions, environmental classification for changing in-vehicle noise conditions, and a back-end dialog navigation information retrieval sub-system connected to the WWW. While previous attempts at in-vehicle speech systems have generally focused on isolated command words to set radio frequencies, temperature control, etc. The CUMove system is focused on natural conversational interaction between the user and in-vehicle system. Since previous studies in speech recognition have shown significant loses in performance when speakers are under task or emotional stress, it is important to develop conversational systems that minimize operator stress for the driver. In addition to discussing the overall CU-Move system, we report on specific research accomplishments in microphone array/beamforming development, environmental noise characterization, and our prototype dialogue system which is based on the MIT Galaxy-II Hub architecture. We also discuss CU-Move corpus development issues.

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Cite this paper

@inproceedings{Hansen2000CUmoveRS, title={"CU-move": robust speech processing for in-vehicle speech systems}, author={John H. L. Hansen and Jay P. Plucienkowski and Stephen Gallant and Bryan L. Pellom and Wayne H. Ward}, booktitle={INTERSPEECH}, year={2000} }