A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
In this paper, a novel method for speaker adaptation using bilinear model is proposed. Bilinear model can express both characteristics of speakers (style) and phonemes across spea...
In this paper an unsupervised compensation method based on Gestalt, ISVC, is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speak...
on Uncertain Data (Extended Abstract) Ming Hua Jian Pei Wenjie Zhang Xuemin Lin Simon Fraser University, Canada The University of New South Wales & NICTA {mhua, jpei}@cs.sfu.c...
ing with shared data abstractions Simon Dobson1 and Don Goodeve2 1 Well-Founded Systems Unit, CLRC Rutherford Appleton Laboratory, UK 2 School of Computer Studies, University of Le...