AI based speech recognition of literacy to improve tribal English knowledge

Indian tribal peoples have some issues in their education. They are differentiated by their looks, appearance and language. This kind of differentiation makes their life in trouble compared with the normal life of other peoples. One of the main reasons for this difference is their language. Language of tribal people cannot be understood by other peoples of India because their language is so different from other languages and it cannot be understood and learned easily from them. Because of this they cannot go to school and do not continue their studies as well. Teaching language is differed from their mother language so the tribal children’s unable to understand what they are teaching and nothing learned from schools. Due to this issue, they cannot continue their studies properly. To overcome this issue, they continue studies in their mother language, nowadays digital technologies play an important role in Education field. Artificial Intelligence based technology is to help tribal people education, and teaching them in their mother language. Substantial CNN approach proposed in this paper. Feature extraction done by spectrogram and audio signal and it performed well by this approach. This approach overcomes the limitations and performs more efficiently than the existing approach. It produced an 85.67% accuracy range.