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This paper addresses the problem of finding a subset of the acoustic feature space that best represents a set of phonological features. A maximum mutual information approach is presented for selecting acoustic features to be combined together to represent the distinctions coded by a set of correlated phonological features. Each set of phonological features is chosen on the basis of acoustic phonetic similarity, so the sets can be considered approximately independent. This means that the outputdoi:10.1109/icassp.2002.5743659 dblp:conf/icassp/OmarH02 fatcat:g2dqvqmiwzg37bxiymejnrew4q