CLUSTERING SIMILAR ACOUSTIC CLASSES IN THE FISHERVOICE FRAMEWORK
文献类型：会议论文
| 作者 | Na Li; Weiwu Jiang; Helen Meng; Zhifeng Li |
| 出版日期 | 2013 |
| 会议名称 | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing |
| 会议地点 | Vancouver, BC, Canada |
| 英文摘要 | In the Fishervoice (FSH) based framework, the mean supervectors of the speaker models are divided into several subvectors by mixture index. However, this division strategy cannot capture local acoustic class structure information among similar acoustic classes or discriminative information between different acoustic classes. In order to verify whether or not local structure information can help improve system performance, we develop five different speaker supervector segmentation methods. Experiments on NIST SRE08 prove that clustering similar acoustic classes together improves the system performance. In particular, the proposed method of equal size clustering achieves 5.1% relative decrease on EER compared to FSH1. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4476]  |
| 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 | Na Li,Weiwu Jiang,Helen Meng,et al. CLUSTERING SIMILAR ACOUSTIC CLASSES IN THE FISHERVOICE FRAMEWORK[C]. 见:2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing. Vancouver, BC, Canada. |
入库方式： OAI收割
来源：深圳先进技术研究院
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