A bayesian logistic regression approach to spoken language identification
文献类型:期刊论文
作者 | Wang, Haipeng ; Xiao, Xiang ; Zhang, Xiang |
刊名 | IEICE ELECTRONICS EXPRESS
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出版日期 | 2010 |
卷号 | 6期号:7 |
ISSN号 | 1349-2543 |
其他题名 | A bayesian logistic regression approach to spoken language identification |
通讯作者 | Wang, Haipeng |
英文摘要 | This paper presents a novel token-based approach for spoken language identification (LID) using bayesian logistic regression model, which takes into account prior distribution for parameters of logistic regression models in order to avoid overfitting. Speech utterances are first decoded into token sequences, and then we design a hierarchical system which utilizes bayesian logistic regression model to perform LID task on these token sequences. Experiments conducted on the NIST LRE 2007 database show that the proposed approach provides quite competitive performance compared to other state-of-the-art token-based approaches. |
收录类别 | SCI+EI |
资助信息 | 声学所 |
语种 | 英语 |
公开日期 | 2011-11-25 |
源URL | [http://159.226.59.140:8080/handle/311008/1685] ![]() |
专题 | 声学研究所_中科院语言声学与内容理解重点实验室 |
推荐引用方式 GB/T 7714 | Wang, Haipeng,Xiao, Xiang,Zhang, Xiang. A bayesian logistic regression approach to spoken language identification[J]. IEICE ELECTRONICS EXPRESS,2010,6(7). |
APA | Wang, Haipeng,Xiao, Xiang,&Zhang, Xiang.(2010).A bayesian logistic regression approach to spoken language identification.IEICE ELECTRONICS EXPRESS,6(7). |
MLA | Wang, Haipeng,et al."A bayesian logistic regression approach to spoken language identification".IEICE ELECTRONICS EXPRESS 6.7(2010). |
入库方式: OAI收割
来源:声学研究所
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