This paper proposes a novel online algorithm for nonnegative matrix factorization (NMF) based on the generalized Kullback-Leibler (KL) divergence criterion, aimed to overcome the high computation problem of large-scale data brought about by conventional batch NMF algorithms. It features stable updating the factors alternately for each new-coming observation, and provides an efficient solution f...

Discriminating speaking styles is an important issue in speech recognition, speaker recognition and speaker segmentation. This paper compares distance measures between Gaussian distributions for discriminating speaking styles. The Mahalanobis distance, the Bhattacharyya distance and the Kullback-Leibler divergence, which are in common use for a definition as a distance measure between Gaussian ...