Recognition apparatus using articulation positions for recognizing a

Abstract

A first voice recognition apparatus includes a device for analyzing frequencies of the input voice and a device coupled to the analyzing unit for determining vowel zones and consonant zones of the analyzed input voice. The apparatus further includes a device for determining positions of articulation of an input voice determined from the vowel zones by calculating from frequency components of the input voice in accordance with a predetermined algorithm based on frequency components of monophthongs having known phonation contents and positions of articulation. A second voice recognition apparatus includes a device for analyzing frequencies of the input voice so as to derive acoustic parameters from the input voice. A pattern converting unit is coupled to the analyzing unit and uses a neural network for converting the acoustic parameters to articulartory vectors. The neural network is capable of learning, by the error back propagation method using target data produced by a predetermined sequence based on the acoustic parameters, to create rules for converting the acoustic parameters of the input voice to articulatory vectors having at least two vector elements. A recognizing unit is coupled to the pattern converting unit for recognizing the input voice by comparing a feature pattern of the analyzed input voice having the articulatory vector with reference feature patterns in a predetermined sequence. A storage unit is coupled to the recognizing unit for storing the reference feature patterns having the articulatory vectors created by the pattern converting unit.