An acoustic fingerprint is a unique identifier created from the audio characteristics of a sound or music track. It uses algorithms to analyze audio data and extract key features that distinguish one audio signal from another. This process is often used in music recognition systems, such as those employed by apps like Shazam or SoundHound, to identify songs quickly and accurately. The acoustic fingerprint typically involves breaking down a sound signal into its frequency components, identifying peaks and patterns, and creating a compact representation of these features.
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