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	CLUSTERING SIMILAR ACOUSTIC CLASSES IN THE FISHERVOICE FRAMEWORK
	Na Li; Weiwu Jiang; Helen Meng; Zhifeng Li
	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
内容类型	会议论文
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.

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