Using Fishervoice to enhance the performance of I-vector based speaker verification system
文献类型:会议论文
作者 | Na Li; Xiangyang Zeng; Zhifeng Li; Yu Qiao; Weiwu Jiang |
出版日期 | 2014 |
会议名称 | 2014 4th IEEE International Conference on Information Science and Technology (ICIST), |
会议地点 | 中国 |
英文摘要 | I-vector is a popular feature representation technique in speaker verification systems. In this paper, we use Fishervoice algorithm in combination with i-vector feature representation to improve speaker verification performance. By applying the Fishervoice model to map the i-vector into a low-dimensional discriminant subspace, the intra-speaker variability can be reduced and the discriminative class boundary information can be emphasized for enhanced recognition performance. Experiments on NIST SRE 2008 core test task show that the proposed framework achieves 19.9% and 8.5% dramatic relative decrease in EER and minDCF metrics respectively compared to the state-of-the-art PLDA based method. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/5513] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2014 |
推荐引用方式 GB/T 7714 | Na Li,Xiangyang Zeng,Zhifeng Li,et al. Using Fishervoice to enhance the performance of I-vector based speaker verification system[C]. 见:2014 4th IEEE International Conference on Information Science and Technology (ICIST),. 中国. |
入库方式: OAI收割
来源:深圳先进技术研究院
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