Segregation of Speech and Music Signals for Aiding the Hearing Impaired

Separation of voice and music is an existing as well as an interesting problem but can also be a challenging task; at the same time, it is of immense importance for various other researches such as audio content analysis. This study is inherent investigation of the implementation of sound segregation in hearing aid improvement. The prime idea of the study is to help and improve the knowledge in hearing disabled children. Therefore, we have studied the issues dealt with physically impaired child and compared to the responses of normal individuals. In this study, the focus is on implementing the four algorithms collectively for efficient as well as detailed sound production. The algorithms used in the study are REPET, adaptive REPET, SVS-RPCA, MLRR.