An Expert System for Interpreting Speech Patterns

Renato De Mori, Attilio Giordano, Lorenza Saitta, Pietro Laface

Efficient syllabic hypothesization in continuous speech has been so far an unsolved problem. A novel solution based on the extraction of acoustic cues is proposed in this paper. This extraction is performed by parallel processes implementing an expert system represented by a grammar of frames.

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