Improved speech recognition using a subspace projection approach
P.C. Loizou, Andreas Spanias · IEEE Transactions on Speech and Audio Processing · 1999
Two class separability criteria based on the divergence measure are proposed to improve speech recognition performance. The average and weighted average divergence measures are used as criteria for finding a transformation matrix which maps the original features into a more discriminative subspace. Results are presented for a highly confusable task.