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report
Speech & Face Based Biometric Authentication at IDIAP
2003
We present an overview of recent research at IDIAP on speech & face based biometric authentication. This report covers user-customised passwords, adaptation techniques, confidence measures (for use in fusion of audio & visual scores), face verification in difficult image conditions, as well as other related research issues. We also overview the Torch machine-learning library, which has aided in the implementation of the above mentioned techniques.
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Name
rr03-13.pdf
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openaccess
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128.7 KB
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Adobe PDF
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