TY - CONF T1 - Kernelized Rényi distance for speaker recognition T2 - Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on Y1 - 2010 A1 - Vasan Srinivasan,B. A1 - Duraiswami, Ramani A1 - Zotkin,Dmitry N KW - #x0301;nyi KW - approach;input KW - distance;reference KW - entropy;graphical KW - equipment;entropy;speaker KW - graphic KW - identification;speaker KW - processor;information KW - Re KW - recognition; KW - recognition;speaker KW - signals;kernelized KW - signals;speaker KW - theoretic KW - verification;computer AB - Speaker recognition systems classify a test signal as a speaker or an imposter by evaluating a matching score between input and reference signals. We propose a new information theoretic approach for computation of the matching score using the Re #x0301;nyi entropy. The proposed entropic distance, the Kernelized Re #x0301;nyi distance (KRD), is formulated in a non-parametric way and the resulting measure is efficiently evaluated in a parallelized fashion on a graphical processor. The distance is then adapted as a scoring function and its performance compared with other popular scoring approaches in a speaker identification and speaker verification framework. JA - Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on M3 - 10.1109/ICASSP.2010.5495587 ER -