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  2. 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.

  3. Acoustic fingerprint - Wikipedia

    en.wikipedia.org/wiki/Acoustic_fingerprint

    Practical uses of acoustic fingerprinting include identifying songs, melodies, tunes, or advertisements; sound effect library management; and video file identification. 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 ...

  4. 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.

  5. Musipedia - Wikipedia

    en.wikipedia.org/wiki/Musipedia

    The latter can identify short snippets of audio (a few seconds taken from a recording), even if it is transmitted over a phone connection. Shazam uses Audio Fingerprinting for that, a technique that makes it possible to identify recordings. Musipedia, on the other hand, can identify pieces of music that contain a given melody.

  6. 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.

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  8. Music information retrieval - Wikipedia

    en.wikipedia.org/wiki/Music_information_retrieval

    Formal methods and databases — applications of automated music identification and recognition, such as score following, automatic accompaniment, routing and filtering for music and music queries, query languages, standards and other metadata or protocols for music information handling and retrieval, multi-agent systems, distributed search)

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