Paper Title
Custom Sign Language Translation using Convolutional Neural Network(CNN)

Abstract
The communication medium for deaf people or hearing impaired people is sign Language. The sign language can be defined in different way in different region. This paper present an approach to convert speech to sign language and vice versa using Convolutional Neural Network (CNN).This paper focuses on custom sign language which helps to people to design their own language and use it. Also the other people can also refers the language defined from another person. In this paper we uses various machine learning algorithms. In this study we propose a Deep learning architecture which comprises two types of the neural network, Convolutional Neural Network for spatial feature extraction and Recurrent Neural Network for temporal feature extraction. Keywords - Machine learning, deep learning, sign language, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN).