Proceedings of the KSPS conference (대한음성학회:학술대회논문집)
- 2007.05a
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- Pages.33-36
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- 2007
Fast Speaker Adaptation in Noisy Environment using Environment Clustering
잡음 환경하에서 환경 군집화를 이용한 고속화자 적응
- Kim, Young-Kuk (Department of Electronics Engineering, Pusan National University) ;
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Song, Hwa-Jeon
(Research Institute of Computer Information and Communications, Pusan National University) ;
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Kim, Hyung-Soon
(Department of Electronics Engineering, Pusan National University)
- 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