Speech & Face Based Biometric Authentication at IDIAP
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.
Record created on 2006-03-10, modified on 2016-08-08