This paper presents the performance of the deaf speech recognition using Hidden markov model. Even persons those having perfect nasal and oral cavity cannot produce sounds if they are deaf, since they cannot hear anything. If deafness is found earlier, then using speech therapist they can be made to reproduce sounds at the maximum. Depending on the degree of hearing they are deaf, profoundly deaf ...Show More
This paper describes isolated word recognition of deaf students by unsupervised and supervised neural network. Compared to normal speech, there is high variability in deaf speech and by hearing once we couldn't understand it. By the use of proposed method deaf people can make use of all voice operated devices. In this paper we use combination of SOFM and BPN neural network for recognition. Initial...Show More
