대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

대한전자공학회 (The Institute of Electronics and Information Engineers)
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원거리 음성인식 시스템의 잡음 제거 기법에 대한 연구

Noise removal algorithm for intelligent service robots in the high noise level environment

  • 우성민 (포항공과대학교 전자전기공학과) ;
  • 이상훈 (포항공과대학교 전자전기공학과) ;
  • 정홍 (포항공과대학교 전자전기공학과)
  • Woo, Sung-Min (Electrical and Electronic Engineering Pohang University of Science and Technology) ;
  • Lee, Sang-Hoon (Electrical and Electronic Engineering Pohang University of Science and Technology) ;
  • Jeong, Hong (Electrical and Electronic Engineering Pohang University of Science and Technology)
  • 발행 : 2007.07.11
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초록

Successful speech recognition in noisy environments for intelligent robots depends on the performance of preprocessing elements employed. We propose an architecture that effectively combines adaptive beamforming (ABF) and blind source separation (BSS) algorithms in the spatial domain to avoid permutation ambiguity and heavy computational complexity. We evaluated the structure and assessed its performance with a DSP module. The experimental results of speech recognition test shows that the proposed combined system guarantees high speech recognition rate in the noisy environment and better performance than the ABF and BSS system.

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