Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Noise Robust Speech Recognition Applied to Voice-Driven Wheelchair | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID512314 9 pages doi 2009 512314 Research Article Noise Robust Speech Recognition Applied to Voice-Driven Wheelchair Akira Sasou and Hiroaki Kojima 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 Correspondence should be addressed to Akira Sasou a-sasou@ Received 26 January 2009 Revised 7 May 2009 Accepted 31 July 2009 Recommended by Mark Kahrs 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. Copyright 2009 A. Sasou and H. Kojima. 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. 1. Introduction Although various voice-driven wheelchairs have already been developed to enable disabled people to move independently conventional voice-driven wheelchairs still have some associated problems 1-4 . Conventional voice-driven .
