FUZZY VARIANTS FOR SPEECH RECOGNITION ALGORITHMS

摘要

In the paper there are presented fuzzy variants of well known classification algorithms for speech recognition based on speech characterization by melcepstral coefficients and the first and second order differences. Improvements from 1-3%in speech recognition rate versus non-fuzzy version are a proof of a better adaptation of such algorithms to the dificulty of the classification task.