Example Concept: Noise reduction algorithms in AI audio tools analyze the frequency spectrum of an audio recording to identify and suppress background noise. These algorithms often use machine learning models trained on various noise profiles to distinguish between speech and unwanted sounds, allowing for clearer audio output. Additionally, adaptive filtering and spectral gating techniques are employed to dynamically adjust the audio signal, enhancing the clarity of the primary audio source.