Fast Speaker Adaptation in Noisy Environment using Environment Clustering

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  • Kim, Young-Kuk (Department of Electronics Engineering, Pusan National University) ;
  • Song, Hwa-Jeon (Research Institute of Computer Information and Communications, Pusan National University) ;
  • Kim, Hyung-Soon (Department of Electronics Engineering, Pusan National University)
  • 김영국 (부산대학교 전자공학과) ;
  • 송화전 (부산대학교 컴퓨터 및 정보 통신 연구소) ;
  • 김형순 (부산대학교 전자공학과)
  • Published : 2007.05.18

Abstract

In this paper, we investigate a fast speaker adaptation method based on eigenvoice in several noisy environments. In order to overcome its weakness against noise, we propose a noisy environment clustering method which divides the noisy adaptation utterances into utterance groups with similar environments by the vector quantization based clustering using a cepstral mean as a feature vector. Then each utterance group is used for adaptation to make an environment dependent model. According to our experiment, we obtained 19-37 % relative improvement in error rate compared with the simultaneous speaker adaptation and environmental compensation method

Keywords