ICA based Noise Reduction in Mobile Phone Speech Communication

In mobile phone conversations dealing with noise can be tricky as it can lower the quality of speech and make it hard to hear clearly. This research investigates ways to make speech on phones better by reducing noise. It talks about methods for cutting out noise like using machine learning, adaptive filters improving quality and taking out unwanted sounds. Also, it examines the challenges and possibilities of using these techniques on phones considering things, like how complicated they are needing real time processing and adjusting to noisy environments. It also looks at how learning can help reduce noise while keeping voices clear.