| 马静,侯丽敏,王朔中.基于全局背景模型和竞争者模型的说话人确认系统[J].声学技术,2007,(1):105~110 |
| 基于全局背景模型和竞争者模型的说话人确认系统 |
| Speaker verification based on UBM and cohort model |
| 投稿时间：2005-07-01 修订日期：2005-11-01 |
| DOI： |
| 中文关键词: 说话人确认 背景模型 竞争者模型 全局背景模型 |
| 英文关键词: speaker verification background speaker model cohort model universal background model |
| 基金项目: |
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| 摘要点击次数: 1343 |
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| 中文摘要: |
| 大多数说话人确认系统都设置一个背景模型用于描述假冒者的特性。文章提出一种新的说话人确认的背景模型,对所有说话人采用同一全局背景模型(简称UBM),并为每个说话人建立一个竞争者模型(cohort model)。在全局背景模型不能做出准确判断的情况下,启用竞争者模型再次进行判决。该模型充分利用了传统全局背景模型和竞争者模型的互补性。实验表明新的背景模型使系统性能有较明显的提高。 |
| 英文摘要: |
| Most comprehensive speaker verification systems use background speakers to model imposters.Based on analysis of general background speaker models,a new model combining the universal background model(UBM) with a cohort model is proposed.In the proposed speaker verification system,the same UBM is set for all claimed speaker,and a cohort model is set for each speaker.When the UBM fails to give a definite decision,the cohort model is used to make a verdict.The new background speaker model takes advantages of both UBM and the cohort model.Experimental results show that an equal error rate lower than conventional techniques is obtainable. |
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