Robust speech recognition in car environment with echo canceller

반향제거기를 갖는 자동차 실내 환경에서의 음성인식

  • Park, Chul-Ho (Department of Electronics, Kyungpook National University) ;
  • Heo, Won-Chul (Department of Electronics, Kyungpook National University) ;
  • Bae, Keun-Sung (Department of Electronics, Kyungpook National University)
  • 박철호 (경북대학교 대학원 전자공학과) ;
  • 허원철 (경북대학교 대학원 전자공학과) ;
  • 배건성 (경북대학교 전자공학부)
  • Published : 2005.11.17

Abstract

The performance of speech recognition in car environment is severely degraded when there is music or news coming from a radio or a CD player. Since reference signals are available from the audio unit in the car, it is possible to remove them with an adaptive filter. In this paper, we present experimental results of speech recognition in car environment using the echo canceller. For this, we generate test speech signals by adding music or news to the car noisy speech from Aurora2 DB. The HTK-based continuous HMT system is constructed for a recognition system. In addition, the MMSE-STSA method is used to the output of the echo canceller to remove the residual noise more.

Keywords