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EURASIP Journal on Advances in Signal Processing
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Noise Robust Speech Recognition Applied to Voice-Driven Wheelchair

EURASIP Journal on Advances in Signal Processing volume 2009, Article number: 512314 (2009) Cite this article

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 and Affiliations

  1. Intelligent Media Research Group, Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central2,1-1-1, Umezono, Tsukuba, Ibaraki, 305-8568, Japan

    Akira Sasou & Hiroaki Kojima

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  1. Akira Sasou
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  2. Hiroaki Kojima
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Correspondence to Akira Sasou.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Sasou, A., Kojima, H. Noise Robust Speech Recognition Applied to Voice-Driven Wheelchair. EURASIP J. Adv. Signal Process. 2009, 512314 (2009). https://doi.org/10.1155/2009/512314

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

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