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  2. Shazam (music app) - Wikipedia

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

    Shazam first became available as an app in 2006 exclusively on the Amp'd Mobile cellular service. Shazam for iPhone debuted on 10 July 2008, with the launch of Apple's App Store. The free app enabled users to launch iTunes and buy the song directly, [16] although the service struggled to identify classical music. [17]

  3. SoundHound - Wikipedia

    en.wikipedia.org/wiki/SoundHound

    The company was co-founded in 2005 by Keyvan Mohajer, an Iranian-Canadian computer scientist and entrepreneur who specializes in voice AI. [11]In 2009, the company's music discovery app Midomi was rebranded as SoundHound, but is still available as a web version on midomi.com. [12] [13] The app grew from 2 million users in January 2010 to 100 million users in September 2012.

  4. 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 ...

  5. Shazam - Wikipedia

    en.wikipedia.org/wiki/Shazam

    Shazam (music app), a music recognition app on Android and iPhone SHAZAM (interbank network) , financial services and payments processing company Shazam (econometrics software) , software package for econometrics and statistics

  6. Doreso - Wikipedia

    en.wikipedia.org/wiki/Doreso

    Doreso is an automatic content recognition (ACR) company specialized in music discovery and social TV recognition service for the second screen.Their sound-to-sound music search engine allows users to obtain more detailed information about music and songs by singing, humming or by recording original music.

  7. OpenSMILE - Wikipedia

    en.wikipedia.org/wiki/OpenSMILE

    openSMILE [2] is source-available software for automatic extraction of features from audio signals and for classification of speech and music signals. "SMILE" stands for "Speech & Music Interpretation by Large-space Extraction". The software is mainly applied in the area of automatic emotion recognition and is widely used in the affective ...