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Applying the Generalized Dombi Operator Family to the Speech Recognition Task
2009
Journal of Computing and Information Technology
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 fuzzy
doi:10.2498/cit.1001284
fatcat:t26rolf7grh4rgjz3gpskltuyu