The paper introduces a phoneme matching algorithm considering a novel concept of functional strategy. In contrast to the classic methodologies which are focusing on the convergence to a fixed expected phonemic sequence (EPS), the presented method follows a more realistic approach. Based on text input, a soft EPS is populated taking into consideration the structural and linguistic deviations which may appear in a naturally spoken sequence. The results of the matching process is evaluated using fuzzy inference and is consisted of both the phoneme transition positions as well as the actual utterance phonemic content. An overview of the algorithm focusing in the reduction of the computational cost is presented.
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