Audio denoising is a process used to remove unwanted noise from audio recordings. This noise can come from various sources, such as background sounds, electronic interference, or poor recording conditions. By applying specific algorithms and techniques, audio denoising enhances the clarity and quality of the desired sound, making it more pleasant to listen to. There are several methods for audio denoising, including spectral subtraction, wavelet transforms, and machine learning approaches. Each method has its strengths and weaknesses, depending on the type of noise and the characteristics of the audio signal. The goal is to preserve the original audio while minimizing the impact of the noise.