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MULTIMODAL USER RECOGNITION ROBUST TO ENVIRONMENT VARIATION

机译:适应环境变化的多模式用户识别功能

摘要

The present invention provides a method to enhance user recognition performance with a combination or selection of modality depending on variation of the external environment. The present invention relates to a multi-modal user recognition method, which provides a multi-modal user recognition method which includes: a step where facial similarity regarding facial feature vector of the an input image is calculated using face model templates; a step where vocal similarity regarding vocal feature vector of input audio is calculated using speech model templates; a step where a first value is created by applying to the facial similarity a first weight obtained from using the size of lighting associated with the input image; a step where a second value is created by applying to the vocal similarity a second weight obtained from using the size of noise associated with the input audio; and a step where the user is recognized using the final score obtained from combining the first and the second value.;COPYRIGHT KIPO 2015
机译:本发明提供了一种根据外部环境的变化通过模态的组合或选择来增强用户识别性能的方法。本发明涉及一种多模式用户识别方法,其提供了一种多模式用户识别方法,该方法包括:使用面部模型模板计算与输入图像的面部特征向量有关的面部相似度的步骤;使用语音模型模板计算与输入音频的声音特征向量有关的声音相似度的步骤;通过对面部相似度施加第一权重来创建第一值,该第一权重是通过使用与输入图像相关联的照明尺寸而获得的;通过对声音相似性应用第二权重来创建第二值的步骤,该第二权重是通过使用与输入音频相关的噪声的大小而获得的; COPYRIGHT KIPO 2015;以及使用结合第一值和第二值获得的最终分数来识别用户的步骤。

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