通过细化话语检测，增强说话人分割

2005 IEEE International Conference on Multimedia and Expo Pub Date : 2005-07-06 DOI:10.1109/ICME.2005.1521419

Min Yang, Zhaohui Wu, Yingchun Yang

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引用次数: 1

摘要

在本文中，我们介绍了一种精细的话语检测算法来增强说话人分割。该算法在语音检测中采用了沉默检测器、进一步分频器和音频类型分类器，使该算法能够适应噪声环境和沉默环境。对Hub4-NE广播数据库进行了开集验证测试。实验结果表明，这种增强的分割方法可以为说话人模型提供更好的信息。

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Enhance speaker segmentation by elaborating utterance detection

In this paper, we introduce an elaborate utterance detection algorithm to enhance speaker segmentation. Silence detector, further divider and audio type classifier are employed in this elaborate utterance detection, to make this algorithm adaptive for both silent and noisy environments. Open-set verification testing has taken on the Hub4-NE broadcasts database. The experiment results show that this enhanced segmentation method can provide better information for speaker models.

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来源期刊

2005 IEEE International Conference on Multimedia and Expo

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