利用言语和嘴唇特征识别说话人

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. Pub Date : 2005-12-27 DOI:10.1109/IJCNN.2005.1556307

Guobin Ou, Xin Li, XiaoCao Yao, HongBin Jia, Y. Murphey

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引用次数: 5

摘要

我们提出了一个使用同步语音信号和嘴唇特征的说话人识别系统。我们开发了一种自动从说话人图像中提取嘴唇区域的算法，以及一个集成两种不同类型信号的神经网络系统，以准确识别说话人。我们的研究表明，在文本依赖和文本独立的说话人识别应用中，所提出的系统比仅使用语音或嘴唇特征的系统具有更好的性能。

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Speaker identification using speech and lip features

We present a speaker identification system that uses synchronized speech signals and lip features. We developed an algorithm that automatically extracts lip areas from speaker images, and a neural network system that integrates the two different types of signals to give accurate identification of speakers. We show that the proposed system gives better performances than the systems that use only speech or lip features in both text dependant and text independent speaker identification applications.

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来源期刊

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

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