A Robust Speech Recognition Method Combining the Model Compensation Method with the Speech Enhancement Algorithm

음질향상 기법과 모델보상 방식을 결합한 강인한 음성인식 방식

  • 김희근 (계명대학교 전자공학과) ;
  • 정용주 (계명대학교 전자공학과) ;
  • 배건성 (경북대학교 전자전기컴퓨터학부)
  • Published : 2007.06.30


There have been many research efforts to improve the performance of the speech recognizer in noisy conditions. Among them, the model compensation method and the speech enhancement approach have been used widely. In this paper, we propose to combine the two different approaches to further enhance the recognition rates in the noisy speech recognition. For the speech enhancement, the minimum mean square error-short time spectral amplitude (MMSE-STSA) has been adopted and the parallel model combination (PMC) and Jacobian adaptation (JA) have been used as the model compensation approaches. From the experimental results, we could find that the hybrid approach that applies the model compensation methods to the enhanced speech produce better results than just using only one of the two approaches.