基于三个分类器并行融合的说话人分割

2009 3rd International Conference on Signals, Circuits and Systems (SCS) Pub Date : 2009-11-01 DOI:10.1109/ICSCS.2009.5412583

S. Ouamour, H. Sayoud, M. Guerti

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引用次数: 2

摘要

本文主要研究说话人分割问题。这种特性包括将音频文档划分为同质区域。每个区域属于一个说话者[1]。说话人分割(或说话人变化检测)包括在多说话人音频流中检测说话人身份变化的点。这些点或时间被称为“断点”[2]。

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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Speaker segmentation using parallel fusion between three classifiers

In this paper, we deal with the problem of speaker segmentation. This speciality consists in splitting the audio document into homogeneous areas. Each area is attributed to one speaker [1]. Speaker segmentation (or speaker change detection) consists in detecting the points where the speaker identity changes, in a multi-speaker audio stream. These points or times are called “Break Points” [2].

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2009 3rd International Conference on Signals, Circuits and Systems (SCS)

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