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In hash function, for audio identification, such as finding out whether an MP3 file matches one of a list of known items, one could use a conventional hash function such as MD5, but this would be very sensitive to highly likely perturbations such as time-shifting, CD read errors, different compression algorithms or implementations or changes in volume. Practical uses of acoustic fingerprinting include broadcast monitoring, identification of music and ads being played, peer-to-peer network monitoring, sound effect library management, and video identification. Depending upon the particular algorithm, acoustic fingerprints can be used to automatically categorize or identify an audio sample. An acoustic fingerprint is a unique code generated from an audio waveform.
