A new speaker verification method with global speaker model and likelihood score normalization |
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Authors: | Yiying Zhang Xiaoyan Zhu Zhang Bo |
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Affiliation: | (1) Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, 100084 Beijing, P.R. China |
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Abstract: | 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 normaliza- tion 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. |
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Keywords: | speaker verification likelihood score normalization statistical analysis |
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