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  2. Query by humming - Wikipedia

    en.wikipedia.org/wiki/Query_by_humming

    Query by humming (QbH) is a music retrieval system that branches off the original classification systems of title, artist, composer, and genre. It normally applies to songs or other music with a distinct single theme or melody. The system involves taking a user-hummed or whistled melody (input query) and comparing it to an existing database ...

  3. Search by sound - Wikipedia

    en.wikipedia.org/wiki/Search_by_sound

    Shazam, Soundhound, Axwave, ACRCloud and others have seen considerable success by using a simple algorithm to match an acoustic fingerprint to a song in a library. These applications take a sample clip of a song, or a user-generated melody and check a music library/music database to see where the clip matches with the song. From there, song ...

  4. Google Assistant - Wikipedia

    en.wikipedia.org/wiki/Google_Assistant

    Google Assistant is a virtual assistant software application ... 2020, Google announced a new 'hum to search' function to find a song by simply humming, whistling, or ...

  5. Audio search engine - Wikipedia

    en.wikipedia.org/wiki/Audio_search_engine

    Its features are both an audio-based artificial intelligence service and services to find songs and details about them by singing, humming or recording them. Shazam is an app for smartphone or Mac best known for its music identification capabilities. It uses a built-in microphone to gather a brief sample of the audio being played.

  6. The Hum (Dimitri Vegas & Like Mike song) - Wikipedia

    en.wikipedia.org/wiki/The_Hum_(Dimitri_Vegas...

    The Hum is a song by the Belgian-Greek DJ duo Dimitri Vegas & Like Mike in collaboration with the Dutch DJ Ummet Ozcan. The song was released on 20 April 2015 and the instrumental belongs to the music genre Electro house. The song uses a sample from the 2013 movie The Wolf of Wall Street, which was the reason of the initial title of the song ...

  7. WatZatSong - Wikipedia

    en.wikipedia.org/wiki/WatZatSong

    The website's inception traces back to 2005 when Raphaël Arbuz and Thibault Vanhulle, intrigued by online music quizzes, encountered a song they couldn't recall during one of their quizzes. Vanhulle conceived an idea of creating a platform where users could hum a tune to identify songs.

  8. 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.

  9. We All Stand Together - Wikipedia

    en.wikipedia.org/wiki/We_All_Stand_Together

    The "Frog Chorus" backing on the song was provided by The King's Singers and the choir of St Paul's Cathedral. [3] The B-side of the single contains a "Humming Version" of the song performed by the Finchley Frogettes. The song re-entered the UK Singles Chart in 1985, one of three hits to do so that had originally charted in December 1984.