Noise Cancellation Using Speech Separation

Noise cancellation or noise removal could be considered as the process of deletion or reduction of worldly interferences attached to an audio when one receives sound from a source. One of the most used processes for this process as of now is simply referred to as ANC or Active Noise Cancellation. Active Noise cancellation is a technology where a secondary noise source is used as a form of anti-noise sound signal to interfere with the original sound source containing noises to remove unwanted noises. During the last decades, there are several works have been put forward including some supervised machine learning approach. Along with the recent developments in the study of Deep learning has also actually increased the efficiency of these works and in turn providing better solutions. Unlike ANC, Speech separation is used to differentiate a primary speaker from a secondary speaker and it does not require secondary sources. This paper proposes a system that aims at cancelling of noises with the help of speech separation along with the help of Neural Networks