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An Efficient Approach to Multimodal Person Identity Verification by Fusing Face and Voice Information

机译:融合面部和语音信息的多模式人员身份验证的有效方法

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摘要

This paper presents an effective method to combine speech recognition, speaker verification and face verification for biometric authentication. Our method provides a light-weight enrollment process and an easy-to-use verification interface. A multi-face/single-sentence strategy is used to combine voice and face verification modules, and support vector machine is employed for information fusion. Experimental results show that our method can achieve high verification accuracies.
机译:本文提出了一种有效的方法,将语音识别,说话人验证和面部验证相结合进行生物特征认证。我们的方法提供了一个轻量级的注册过程和一个易于使用的验证界面。采用多人脸/单句策略组合语音和人脸验证模块,并采用支持向量机进行信息融合。实验结果表明,该方法可以达到较高的验证精度。

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