Proceedings of the KSPS conference (대한음성학회:학술대회논문집)

The Korean Society Of Phonetic Sciences And Speech Technology (대한음성학회)
권호 표지

Maximum mutual information estimation linear spectral transform based adaptation

Maximum mutual information estimation을 이용한 linear spectral transformation 기반의 adaptation

  • Yoo, Bong-Soo (Speech Information Processing Lab., Department of Computer Science and Engineering, Korea University) ;
  • Kim, Dong-Hyun (Speech Information Processing Lab., Department of Computer Science and Engineering, Korea University) ;
  • Yook, Dong-Suk (Speech Information Processing Lab., Department of Computer Science and Engineering, Korea University)
  • 유봉수 (고려대학교 컴퓨터학과 음성정보처리연구실) ;
  • 김동현 (고려대학교 컴퓨터학과 음성정보처리연구실) ;
  • 육동석 (고려대학교 컴퓨터학과 음성정보처리연구실)
  • Published : 2005.04.27
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a transformation based robust adaptation technique that uses the maximum mutual information(MMI) estimation for the objective function and the linear spectral transformation(LST) for adaptation. LST is an adaptation method that deals with environmental noises in the linear spectral domain, so that a small number of parameters can be used for fast adaptation. The proposed technique is called MMI-LST, and evaluated on TIMIT and FFMTIMIT corpora to show that it is advantageous when only a small amount of adaptation speech is used.

Keywords