Acoustic fingerprint
An acoustic fingerprint is a digital code for characterizing a sound or an audio recording , taking into account special acoustic conditions.
Calculating an acoustic fingerprint presents a similar challenge to audio data compression , WAV- to- MIDI conversion or, in particular, voice recognition : Since natural sounds are a complex mixture of frequencies and phases , recognition and extraction are specific Components of the acoustic signal - the user data - an essential precondition. Acoustic fingerprints can be very simple hash values or they can be generated with complex algorithms . They can be in the form of metadata , e.g. B. allow statements about the genre of a digitally stored piece of music.
Acoustic fingerprints can be stored in databases, from where they are used for identification (such as voice recognition or the recognition of individual pieces of music) and classification of new, unknown signals or their prints. The music identification service Shazam is based on the comparison of acoustic fingerprints and was specially developed for cell phones and smartphones.
Commercial methods of fingerprint generation for music data include the. a. TRM and AudioID . As a free alternative there is MAFP , as well as a free open source alternative to AcoustID .
Individual evidence
- ↑ Relatable: TRM ™: The Barcode for Digital Music , accessed January 6, 2014.
- ↑ mufin GmbH: audio identification & music recommendation
- ↑ Peter Lorenz: Mediapurge / MediaArchive - media management and more ... Retrieved on August 8, 2017 .
- ↑ AcoustID!