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In the automatic speech recognition (ASR) problem, the task of constructing one word-or sentence-level probability from the available phoneme-level probabilities is a very important one. Here we try to improve the performance of ASR systems by applying operators taken from fuzzy logic which have the sort of properties this problem requires. In this paper we do this by using the Generalized Dombi Operator, which, by its two adjustable parameters and incorporating other well-known fuzzydoi:10.2498/cit.1001284 fatcat:t26rolf7grh4rgjz3gpskltuyu