Elias Rentzeperis

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Face recognition systems detect faces in moving or still images and then recognize them. However, face detection is not an error-free process, especially when designed for real-time systems. Thus the face recognition algorithms have to operate on faces that are not ideally framed. In this paper we analyze quantitatively the impact of face detection errors(More)
A robust speech activity detection system is presented in this paper. The proposed approach combines the well-known linear discriminant analysis with a finite state machine in order to successfully identify speech patterns within a recorded audio signal. The derived method is compared with existing ones to demonstrate its superiority, especially when(More)
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