Open Access

Noise Robust Speech Recognition Applied to Voice-Driven Wheelchair

EURASIP Journal on Advances in Signal Processing20092009:512314

https://doi.org/10.1155/2009/512314

Received: 26 January 2009

Accepted: 31 July 2009

Published: 16 September 2009

Abstract

Conventional voice-driven wheelchairs usually employ headset microphones that are capable of achieving sufficient recognition accuracy, even in the presence of surrounding noise. However, such interfaces require users to wear sensors such as a headset microphone, which can be an impediment, especially for the hand disabled. Conversely, it is also well known that the speech recognition accuracy drastically degrades when the microphone is placed far from the user. In this paper, we develop a noise robust speech recognition system for a voice-driven wheelchair. This system can achieve almost the same recognition accuracy as the headset microphone without wearing sensors. We verified the effectiveness of our system in experiments in different environments, and confirmed that our system can achieve almost the same recognition accuracy as the headset microphone without wearing sensors.

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Authors’ Affiliations

(1)
Intelligent Media Research Group, Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)

Copyright

© A. Sasou and H. Kojima. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.