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  2. Tunatic - Wikipedia

    en.wikipedia.org/wiki/Tunatic

    Tunatic is a freeware music identification program developed by Sylvain Demongeot for Windows and Mac OS.. The software analyzes a song by recording it via microphone or just by playing it through the sound card, and then it sends the data online to its database where it searches for a match.

  3. AcoustID - Wikipedia

    en.wikipedia.org/wiki/AcoustID

    Since the future of the free identification service was uncertain, a replacement for it was sought. The Chromaprint acoustic fingerprinting algorithm, the basis for AcoustID identification service, was started in February 2010 by a long-time MusicBrainz contributor Lukáš Lalinský. [6] The oldest entry in the DB is from 8 Oct 2010. [7]

  4. ACRCloud - Wikipedia

    en.wikipedia.org/wiki/ACRCloud

    The major services from ACRCloud are music recognition, content monitoring, live and pre-taped content identification and triggering, it also offers broadcast monitoring, audio measurement, copyright compliance solutions. [buzzword] For developers, ACRCloud supports Android, iOS, Java, Python, Node.js SDKs and SDKs for other programming languages.

  5. Shazam (music app) - Wikipedia

    en.wikipedia.org/wiki/Shazam_(music_app)

    Shazam is an application that can identify music based on a short sample played using the microphone on the device. [2] It was created by the British company Shazam Entertainment, based in London, and has been owned by Apple since 2018. The software is available for Android, macOS, iOS, Wear OS, watchOS and as a Google Chrome extension.

  6. Acoustic fingerprint - Wikipedia

    en.wikipedia.org/wiki/Acoustic_fingerprint

    Media identification using acoustic fingerprints can be used to monitor the use of specific musical works and performances on radio broadcast, records, CDs, streaming media, and peer-to-peer networks. This identification has been used in copyright compliance, licensing, and other monetization schemes.

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  8. CDDB - Wikipedia

    en.wikipedia.org/wiki/CDDB

    CDDB was designed around the task of identifying entire CDs, not merely single tracks. The identification process involves creating a "discid", a sort of "fingerprint" of a CD created by performing calculations on the track duration information stored in the table-of-contents of the CD (see the following section for an example calculation).

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