Two class-separability criteria based on the divergence measure are propose
d to improve speech recognition performance. The average and weighted avera
ge divergence measures are used as criteria for finding a transformation ma
trix which maps the original features into a more discriminative subspace.
Results are presented for a highly confusable task.