NOISE REMOVAL FROM AUDIO USING CNN

The use of convolutional neural networks (CNNs) for audio noise reduction is examined in this article. Effective noise reduction techniques are required because of the ubiquity of loud surroundings and the requirement for high-quality audio in various applications, including voice recognition, music creation, and communications. Traditional techniques frequently have trouble adjusting to different noise profiles, producing unsatisfactory results. CNNs, in comparison, provide a data-driven strategy to deal with these issues. Convolutional layers, pooling, and post-processing methods are a few crucial elements of the CNN architecture that are clarified to assist readers in understanding the fundamentals of noise reduction