Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings

Oriol Vinyals, G. Friedland
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引用次数: 28

Abstract

In the following article we present an application that enables online identification of who is currently speaking using a single farfield microphone in a meeting scenario. By leveraging techniques from both the field of speaker identification and speaker diarization, the system is able to recognize the current speaker after any two seconds of speech. An evaluation of the robustness of the algorithm using the AMI meeting corpus and the NIST speaker diarization development set resulted in a diarization error rate of 12.67%.
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对话的语义分析:会议中说话人的实时识别系统
在下面的文章中,我们将介绍一个应用程序,该应用程序可以在会议场景中使用单个远场麦克风在线识别当前正在发言的人。通过利用说话人识别和说话人拨号技术,该系统能够在任意两秒的讲话后识别当前说话人。使用AMI会议语料库和NIST说话人词法发展集对算法进行鲁棒性评估,词法错误率为12.67%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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