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A Study on Design and Implementation of Embedded System for speech Recognition Process

  • Kim, Jung-Hoon (Department of Electronic Communication Eng, Korea Maritime University) ;
  • Kang, Sung-In (Department of Computer Eng, Tong-myong University of Information Technology) ;
  • Ryu, Hong-Suk (Department of Electronic Communication Eng, Korea Maritime University) ;
  • Lee, Sang-Bae (Department of Electronic Communication Eng, Korea Maritime University)
  • Published : 2004.04.01

Abstract

This study attempted to develop a speech recognition module applied to a wheelchair for the physically handicapped. In the proposed speech recognition module, TMS320C32 was used as a main processor and Mel-Cepstrum 12 Order was applied to the pro-processor step to increase the recognition rate in a noisy environment. DTW (Dynamic Time Warping) was used and proven to be excellent output for the speaker-dependent recognition part. In order to utilize this algorithm more effectively, the reference data was compressed to 1/12 using vector quantization so as to decrease memory. In this paper, the necessary diverse technology (End-point detection, DMA processing, etc.) was managed so as to utilize the speech recognition system in real time

Keywords

References

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