1,073 research outputs found

    Some Studies on Control Theory Involving Schrodinger Group

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    In this M.Sc. project we have discussed and obtained some results related to optimal control and stability properties on Schrodinger grou

    Non-isothermal crystallization kinetics of chalcogenide Se79Te20Pb1 glass using differential scanning calorimetry technique

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    In the present paper, the overall amorphous-crystallization transformation kinetics of chalcogenide Se79Te20Pb1 alloy has been reported using differential scanning calorimetry technique under non-isothermal conditions at three different heating rates (5, 10 and 15 °C/min). Amorphous nature of the investigated alloy is verified using X-ray diffraction. The glass transition region has been investigated using three empirical approaches and consonance of these methods has been discussed. The apparent activation energy for glass transition and crystallization region has been deduced using different methods. The Avrami exponent of the investigated alloy indicates one dimension growth of the investigated glass. The deduced values of Hruby’s parameter and fragility index indicate that amorphous alloy has been formed from good glass forming liquids

    Lip2AudSpec: Speech reconstruction from silent lip movements video

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    In this study, we propose a deep neural network for reconstructing intelligible speech from silent lip movement videos. We use auditory spectrogram as spectral representation of speech and its corresponding sound generation method resulting in a more natural sounding reconstructed speech. Our proposed network consists of an autoencoder to extract bottleneck features from the auditory spectrogram which is then used as target to our main lip reading network comprising of CNN, LSTM and fully connected layers. Our experiments show that the autoencoder is able to reconstruct the original auditory spectrogram with a 98% correlation and also improves the quality of reconstructed speech from the main lip reading network. Our model, trained jointly on different speakers is able to extract individual speaker characteristics and gives promising results of reconstructing intelligible speech with superior word recognition accuracy
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