Browsing by Author "Salem, Abderraouf Ben"
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Item Auditory-based subband blind source separation using sample-by-sample and Infomax algorithms(2010) Salem, Abderraouf Ben; Selouani, Sid Ahmed; Hamam, HabibWe present a new subband decomposition method for the separation of convolutive mixtures of speech. This method uses a sample-by-sample algorithm to perform the subband decomposition by mimicking the processing performed by the human ear. The unknown source signals are separated by maximizing the entropy of a transformed set of signal mixtures through the use of a gradient ascent algorithm. Experimental results show the efficiency of the proposed approach in terms of signal-to-interference ratio. Compared with the fullband method that uses the Infomax algorithm, our method shows an important improvement of the output signal-to-noise ratio when the sensor inputs are severely degraded by additive noise.Item A highly robust audio hashing system using auditory-based front-end processing(Institute of Electrical and Electronics Engineers Inc., 2009) Salem, Abderraouf Ben; Selouani, Sid-Ahmed; Hamam, Habib; Caelen, JeanIn this paper, a robust perceptual audio hashing system is presented. A model of the human auditory system is used to extract robust features from the outputs of a non-linear filter bank that mimics the human basilar membrane. Experiments on various audio excerpts show that this new ear-based frontend processing provides very effective hash values. The proposed audio hashing system performs very satisfactorily in identification and it turned out very resilient to a large variety of severe audio attacks. ©2009 IEEE.