Sound Classification System Using Deep Neural Networks for Hearing Impaired People

Sound plays an important role in day to day life among all living organisms. It tells us about the environment, the characteristics of it, about people, place and move in a way where visuals cannot. In today’s world, various types of sound are included in the environment and there is a need to classify the useful sounds and noise in the environment. The various types of sounds produced in the urban areas are considered for classification. This classified sound can be especially useful to the Hearing impaired people who are in need to identify the types of sound and to react accordingly. Most of the hearing impaired is caused due to the inner ear or nerve damage. There are various reasons for the damage caused. It could be due to congenital defect, diseases, injury, expose to loud noise for a long period of time and age related wear and tear. Among the above stated reasons, only few cases can be resolved using the Hearing Aid. The rest have to live with the defect, as there hasn’t been any significant improvement in this field. Thus the proposed Sound Classification System for Hearing Impaired People (SCSHIP) focuses on aiding the hearing impaired people for their development in the society. The proposed Sound Classification System for Hearing Impaired People (SCSHIP) is designed that could work for all the sound impaired people regardless of the case they hold. To make sure that the Hearing Impaired people are not isolated with the rest of the world, the proposed Sound Classification System for Hearing Impaired People (SCSHIP) is designed with an integration of IoT and Machine Learning that captures the sound in Real-Time, processes it and then classifies it using a trained machine. The machine is trained using the Feature Extraction Techniques and the final result is given as a push notification to the user. Observations made from the results state that the proposed system can be used in a deaf school or in a place where there are a group of Hearing Impaired people so that they are also connected to the happenings of the environment.