Publications

Abstract : The proposed I3 model in Figure1 will adapt any short-run change of user voice, and an alteration in usage of words must also be learned by the learning network (artificial intelligence) that is inculcated in the device. Difference and distribution of voice is being identified by the energy at different frequencies. As per the neuro-heuristic voice recognition [10], the speech recognition system is under research and there exists a synchronism of voice as our brain stimulus responds immediately to recognition of voice (i.e., to find if the particular voice belongs to a known person or not). Not only the human brain, but even animals/birds can find their young ones among groups using voice as a primary mode and vice versa. So there is strong evidence seen that each and every voice possesses a unique pattern [21]. Owing to the enormous and tremendous improvements in all fields, designing a circuit which recognizes uniqueness among various voices will be developed in the near future.