An analysis framework of two-level sampling subspace for speaker verification
文献类型：会议论文
| 作者 | Li Na; Zeng Xiangyang; Li Zhifeng; Jiang Weiwu; Qiao Yu |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 |
| 会议地点 | Xi'an, Shaanxi, China |
| 英文摘要 | Using high-dimensional Joint Factor Analysis (JFA) speaker supervectors for the Fishervoice based subspace analysis suffers high computational complexity problem in the model training process. To address this problem, we propose a two-level sampling subspace framework. For the first level of this framework, partial mean vectors are selected from the JFA speaker supervector to form a low-dimensional feature vector. For the second level, PCA is first applied to perform dimension reduction for the feature vector. Several classifiers are then constructed on a collection of random subspaces generated by randomly sampling the reduced feature space. Finally, all classifiers are fused to obtain the final decision. Experimental results on NIST08 show that the proposed framework improves the performance of JFA and Fishervoice by a relative decrease of 13.8% and 7.2% respectively on EER. The minDCF is reduced to 2.19 by using the new model. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4493]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Li Na,Zeng Xiangyang,Li Zhifeng,et al. An analysis framework of two-level sampling subspace for speaker verification[C]. 见:2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013. Xi'an, Shaanxi, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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