Vassilis Digalakis

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WebGrader TM is a pronunciation grading tool designed for practicing pronunciation in a second language. The system uses SRI's speech recognition [1] and pronunciation scoring [2][3][4] technologies. The application client was implemented by using the Java platform to facilitate deployment and updates of software and content over the World Wide Web. We(More)
In this study, Teager-energy based Mel-frequency cepstral coefficients (TEMFCCs) are proposed for Automatic Speech Emotion Recognition (ASER) in noisy environments. TEMFCCs are obtained by taking the absolute value of the Teager-energy operator (TEO) of the short-time Fourier transform of the signal (STFT), warping it to a Mel-frequency scale, and taking(More)
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