Example Concept: AI audio tools use machine learning algorithms to identify and isolate noise patterns within an audio track. By applying spectral analysis, these tools can distinguish between noise and the desired audio signal, allowing users to reduce noise levels without significantly affecting the audio's quality. Techniques such as adaptive noise reduction and spectral repair are commonly used to maintain audio fidelity while minimizing noise.