计算机科学技术学报(英文版)
計算機科學技術學報(英文版)
계산궤과학기술학보(영문판)
COMPUTER JOURNAL OF SCIENCE AND TECHNOLOGY
2000年
2期
184-193
,共10页
张怡颖%朱小燕%张钹
張怡穎%硃小燕%張鈸
장이영%주소연%장발
speaker verification%likelihood score normalization%statistical analysis
In this paper a new text-independent speaker verification method GSMSV is proposed based on likelihood score normalization. In this novel method a global speaker model is established to represent the universal features of speech and normalize the likelihood score. Statistical analysis demonstrates that this normalization method can remove common factors of speech and bring the differences between speakers into prominence. As a result the equal error rate is decreased significantly,verification procedure is accelerated and system adaptability to speaking speed is improved.
