Design of Robust Speech Recognition System Using Tandem Architecture

탠덤 구조를 이용한 강인한 음성 인식 시스템 설계

  • Yun, Young-Sun (Depart. of Information and Communication Engineering, Hannam University) ;
  • Lee, Yun-Keun (Spoken Language Processing Team, ETRI)
  • 윤영선 (한남대학교 정보통신공학과) ;
  • 이윤근 (한국전자통신연구원 음성처리연구팀)
  • Published : 2007.05.18

Abstract

The various studies of combining neural network and hidden Markov models within a single system are done with expectations that it may potentially combine the advantages of both systems. With the influence of these studies, tandem approach was presented to use neural network as the classifier and hidden Markov models as the decoder. In this paper, we applied the trend information of segmental features to tandem architecture and used posterior probabilities, which are the output of neural network, as inputs of recognition system. The experiments are performed on Aurora2 database to examine the potentiality of the trend feature based tandem architecture. The proposed method shows the better results than the baseline system on very low SNR environments.

Keywords