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首页> 外文会议>Annual conference of the International Speech Communication Association;INTERSPEECH 2010 >System output combination for improved speaker diarization
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System output combination for improved speaker diarization

机译：系统输出组合可改善扬声器的清晰度

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摘要

System combination or fusion is a popular, successful and sometimes straightforward means of improving performance in many fields of statistical pattern classification, including speech and speaker recognition. Whilst there is significant work in the literature which aims to improve speaker diarization performance by combining multiple feature streams, there is little work which aims to combine the outputs of multiple systems. This paper reports our first attempts to combine the outputs of two state-of-the-art speaker diarization systems, namely ICSI's bottom-up and LIA-EURECOM's top-down systems. We show that a cluster matching procedure reliably identifies corresponding speaker clusters in the two system outputs and that, when they are used in a new realignment and resegmentation stage, the combination leads to relative improvements of 13% and 7% DER on independent development and evaluation sets.
机译：系统组合或融合是一种在许多统计模式分类领域（包括语音和说话者识别）中提高性能的流行，成功且有时直接的方法。尽管在文献中有大量工作旨在通过组合多个特征流来提高说话者的二分音性能，但是很少有工作旨在组合多个系统的输出。本文报告了我们首次尝试结合两种最先进的扬声器二分系统的输出，即ICSI的自下而上和LIA-EURECOM的自上而下的系统。我们表明，一个群集匹配程序可以可靠地识别两个系统输出中的相应说话者群集，并且在新的重新调整和重新细分阶段使用它们时，该组合可以使独立开发和评估的DER相对提高13％和7％套。

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