Noise robust speech recognition for voice driven wheelchair

نویسندگان

  • Akira Sasou
  • Hiroaki Kojima
چکیده

In this paper, we introduce a noise robust speech recognition system for a voice-driven wheelchair. Our system has adopted a microphone array system in order for the user not to need to wear a microphone. By mounting the microphone array system on the wheelchair, our system can easily distinguish the user’s utterances from other voices without using a speaker identification technique. We have also adopted a feature compensation technique. By combining the microphone array system and the feature compensation technique, our system can be applied to various noise environments. This is because the microphone array system can provide reliable information about voice activity detection to the feature compensation method, and the feature compensation method can compensate for the weak point of the microphone array system, which is that the microphone array system tends to be less effective for omni-directional noises.

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تاریخ انتشار 2007