Bio-inspired broad-class phonetic labelling
作者： Pedro Gómez Vilda , Rafael Martínez Olalla , M. Victoria Rodellar Biarge , L.M. Fernández , Agustin Álvarez Marquina
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摘要: Recent studies have shown that the correct labeling of phonetic classes may help current Automatic Speech Recognition (ASR) when combined with classical parsing automata based on Hidden Markov Models (HMM).Through present paper a method for Phonetic Class Labeling (PCL) bio-inspired speech processing is described. The methodology in automatic detection formants and formant trajectories after careful separation vocal glottal components operation CF (Characteristic Frequency) neurons cochlear nucleus cortical complex human auditory apparatus. Examples class are given applicability to Processing discussed.
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