THE METHOD OF FORMING SPEAKER PHONETIC DATABASEOF A CONTINUOUS SPEECH ON THE BASIS OF ADAPTIVE ALGORITHMOF PHONEME SEGMENTATION AND COGNITIVE CLUSTER MODEL OF SPEECH UNITS
The problem of conversational continuous speech variability is explored in the task of phonetic database forming. To solve it, we proposed to apply the phoneme segmentation on the basis of the cognitive acoustic model of the type of phonetic cluster defined in the set of minimum speech units. An adaptive algorithm for filling each cluster with stand-alone minimum speech units from the continuous speech is developed. The experimental study results in the tasks of phonetic speech analysis and isolated words recognition for Russian language are presented.