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语言辨识系统的决策级融合研究 被引量:1

Study on decision level fusion of language identification system
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摘要 文中利用不同参数提取方法对语言辨识系统决策级融合进行了研究。文中给出4种融合方式,实验系统采用了GMM-UBM模型,利用OGI-TS多语种电话语音语料库,对决策级融合性能进行了评估。实验表明,利用决策级融合技术,选择最佳融合方式,可以很好地改善语言辨识率。 In this paper,decision level fusion is performed using different parameterization methods.Four types of fu sion are stud ied through GMM-UBM language identification system.The OGI-TS multi-lan guage tele phone speech is used to evaluate the performance of the system.The re sults show that the decision level fusion tech nique is very effective in lan guage identification tasks.[
出处 《电声技术》 北大核心 2003年第11期55-59,共5页 Audio Engineering
基金 国家自然科学基金(60372038).
关键词 语言辨识 决策级融合 高斯混合模型-全局背景模型 贝叶斯自适应 数据融合 language identification decisio n level fusion GMM-UBM Bayesian adaptation
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