A Study of the Cosine Distance-Based Mean Shift for Telephone Speech Diarization
A Study of the Cosine Distance-Based Mean Shift for Telephone Speech Diarization
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DOI：
10.1109/taslp.2013.2285474
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Mohammed Senoussaoui;P. Kenny;Themos Stafylakis;P. Dumouchel
中科院分区：
文献类型：
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作者：
Mohammed Senoussaoui;P. Kenny;Themos Stafylakis;P. Dumouchel
说话人聚类是说话人二值化的关键步骤。电话语音对话中语音片段持续时间短以及缺乏有关簇数量的先验信息极大地增加了该问题在日记化自发电话语音对话中的难度。我们提出了一种基于余弦距离的简单迭代均值平移算法，以在这些条件下执行说话人聚类。在详尽的实际研究中比较了余弦距离均值偏移的两种变体。我们报告了通过 LDC CallHome 电话语料库上的二值化错误率和检测到的说话者数量来衡量的最先进结果。
Speaker clustering is a crucial step for speaker diarization. The short duration of speech segments in telephone speech dialogue and the absence of prior information on the number of clusters dramatically increase the difficulty of this problem in diarizing spontaneous telephone speech conversations. We propose a simple iterative Mean Shift algorithm based on the cosine distance to perform speaker clustering under these conditions. Two variants of the cosine distance Mean Shift are compared in an exhaustive practical study. We report state of the art results as measured by the Diarization Error Rate and the Number of Detected Speakers on the LDC CallHome telephone corpus.