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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. The software is available for Android, macOS, iOS, Wear OS, watchOS and as a Google Chrome extension.

  3. 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.

  4. Google Me (Teyana Taylor song) - Wikipedia

    en.wikipedia.org/wiki/Google_Me_(Teyana_Taylor_song)

    "Google Me" is the first single from American recording artist Teyana Taylor's debut mixtape, From a Planet Called Harlem. The track peaked at number 90 on the Billboard Hot R&B/Hip-Hop Songs chart. The title of the single refers to the Google search engine .

  5. AcoustID - Wikipedia

    en.wikipedia.org/wiki/AcoustID

    It can identify entire songs but not short snippets. [ 1 ] By 2017, the free service had 34 million "fingerprints" in-store and every day acquired between 15 and 20 thousand new entries and answered around five million search queries.

  6. Subways of Your Mind - Wikipedia

    en.wikipedia.org/wiki/Subways_of_Your_Mind

    The song was recorded from a West German Norddeutscher Rundfunk (NDR) radio broadcast sometime during the mid-1980s, likely in or around 1984. [1] In 2019, it became the subject of a viral Internet phenomenon, with many users of sites such as Reddit and Discord collaborating to identify the song and recording artist. [1]

  7. The Story Behind Crowded House’s “Hey Now, Hey Now ... - AOL

    www.aol.com/news/story-behind-crowded-house-hey...

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  9. Acoustic fingerprint - Wikipedia

    en.wikipedia.org/wiki/Acoustic_fingerprint

    An acoustic fingerprint is a condensed digital summary, a digital fingerprint, deterministically generated from an audio signal, that can be used to identify an audio sample or quickly locate similar items in a music database. [1]