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首页> 外文会议>International Conference on Audio- and Video-Based Biometric Person Authentication(AVBPA 2005); 20050720-22; Hilton Rye Town,NY(US) >A New On-Line Model Quality Evaluation Method for Speaker Verification
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A New On-Line Model Quality Evaluation Method for Speaker Verification

机译：说话人验证的在线模型质量评估新方法

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摘要

The accurate selection of the utterances is very important to obtain right estimated speaker models in speaker verification. In this sense, it is important to determine the quality of the utterances and to establish a mechanism to automatically discard or accept them. In real-time speaker verification applications, it is decisive to obtain on-line measures to ask the speaker for more data if necessary. In this paper, we introduce a new on-line quality method based on a male and a female Universal Background Model (UBM). These two models act as a reference for new incoming utterances in order to decide if they can be used to estimate the speaker model or not. Text-dependent experiments have been carried out by using a telephonic multi-session database in Spanish. The database has been recorded by the authors and has 184 speakers.
机译：正确选择话语对于在说话者验证中获得正确的估计说话者模型非常重要。从这个意义上说，重要的是确定话语的质量并建立一种自动丢弃或接受它们的机制。在实时说话人验证应用中，决定性的是获取在线措施以在必要时要求说话人提供更多数据。在本文中，我们介绍了一种基于男性和女性通用背景模型（UBM）的在线质量新方法。这两个模型用作新的传入话语的参考，以便确定它们是否可以用于估计说话者模型。通过使用西班牙语的多会话电话数据库，进行了文本相关的实验。该数据库已被作者记录下来，有184位发言人。

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