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With the aim of achieving the best possible speaker identification rate in a distant-talking environment, we developed a multiple microphone-based text-independent speaker identification system using soft channel selection. The system selects and combines the identification results based on the reliability of an individual channel result using a single perceptron. Thus, it allows for user-customized...
With the aim of improving speaker identification in a multi-microphone environment, we develop a text-independent speaker identification system. It incorporates soft channel selection before the combination of the identification results obtained by multiple microphones. The results demonstrate that the proposed system achieves high classification accuracy, thereby providing a speech interface for...
The attempt to recognize a user through the single recognition expert like the face recognition and speaker recognition is actively comprised. But these single recognition techniques are difficult to cover the user recognition perfectly since the real environment in which a robot is positioned include the variations of the illumination and noise, and etc. In this paper, the fusion technique using...
User recognition is one of the most fundamental functionalities for intelligent service robots. However, in robot applications, the conditions are far severer compared to the traditional biometric security systems. The robots should be able to recognize users non-intrusively, which confines the available biometric features to face and voice. Also, the robots are expected to recognize users from relatively...
In this paper, the user identification based on face and speaker information obtained from camera and microphone for the intelligent service robot is proposed. For this purpose, we use fisherface method for face recognition. The choice of the fisherface method in this setting is motivated by its insensitivity to large variation in light direction, face pose, and facial expression. Furthermore, we...
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