Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Voice Recognition Module for Multi-functional Electric Wheelchair

다기능 전동휠체어의 음성인식 모듈에 관한 연구

  • 류홍석 (한국해양대학교 전자통신공학과) ;
  • 김정훈 (한국해양대학교 전자통신공학과) ;
  • 강성인 (한국해양대학교 전자통신공학과) ;
  • 강재명 (한국해양대학교 전자통신공학과) ;
  • 이상배 (한국해양대학교 전자통신공학과)
  • Published : 2002.06.01
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Abstract

This paper intends to provide convenience to the disabled, losing the use of their limbs, through voice recognition technology. The voice recognition part of this system recognizes voice by DTW (Dynamic Time Warping) Which is most Widely used in Speaker dependent system. Specially, S/N rate was improved through Wiener filter in the pre-treatment phase while considering real environmental conditions; the result values of 12th order feature pattern per frame are extracted by DTW algorithm using LPC and Cepsturm in feature extraction process. Furthermore, miniaturization is pursued using TMS320C32, 71's the floating-point DSP, for the hardware part. Currently, 90% of hardware porting has been completed, but we can confirm that the recognition rate was 96% as a result of performing the DTW algorithm in PC.

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