A Novel Speaker Change Detection Algorithm

Xiaoqing Yu, Haiying Tan, W. Wan
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Abstract

To cope with the problem of speaker voice change detection, a novel speaker change detection algorithm is proposed in this paper. The new algorithm is developed based on traditional BIC algorithm in order to choose the voice segmentation point firstly, and then analyze the BIC change trend to decide which point is the real speaker voice change point. To compare with the normal BIC detection algorithm, the precision and recall rate of this new one is improved a lot. And also the new one has lower computational complexity compared with the traditional one.
一种新的说话人变化检测算法
针对说话人语音变化检测问题,本文提出了一种新的说话人变化检测算法。该算法是在传统BIC算法的基础上开发的,首先选择语音切分点,然后分析BIC变化趋势,确定哪个点是真实说话人的语音切分点。与常规的BIC检测算法相比,该算法的准确率和查全率都有很大提高。与传统算法相比,该算法具有较低的计算复杂度。
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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