An Analysis Framework based on Random Subspace Sampling for Speaker Verification
文献类型：会议论文
| 作者 | Weiwu Jiang; Zhifeng Li; Helen Meng |
| 出版日期 | 2011 |
| 会议名称 | 12th Annual Conference of the International-Speech-Communication-Association 2011 (INTERSPEECH 2011) |
| 会议地点 | Florence, ITALY |
| 英文摘要 | Using Joint Factor Analysis (JFA) supervector for subspace analysis has many problems, such as high processing complexity and over-fitting. We propose ananalysis framework based on random subspace sampling to address these problems. In this framework, JFA supervectors are first partitioned equally and each partitioned subvector is projected on to a subspace by PCA. All projected subvectors are then concatenated and PCA is applied again to reduce the dimension by projection onto a low-dimensional feature space;Finally, we randomly sample this feature space and build classifiers for the sampled features. The classifiers are fused to produce the final classification output. Experiments on NIST SRE08 prove the effectiveness of the proposed framework. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3275]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Weiwu Jiang,Zhifeng Li,Helen Meng. An Analysis Framework based on Random Subspace Sampling for Speaker Verification[C]. 见:12th Annual Conference of the International-Speech-Communication-Association 2011 (INTERSPEECH 2011). Florence, ITALY. |
入库方式： OAI收割
来源：深圳先进技术研究院
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