Application of Neural Logic to Speech Analysis and Recognition

This paper describes signal-processing techniques for the recognition of speech phonemes by machine. An attempt has been made to employ, wherever useful, basic processing functions of the human auditory system. These basic functions include neural interconnections and the mechanical transfer functions of the receptor organs. The neural interconnections bave been simulated by the use of neural logic. The purpose of this paper is to describe the logic networks that have been developed for the abstraction of speech features.