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  2. Shazam (music app) - Wikipedia

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

    The target zone of a song that was scanned by Shazam. [6] Shazam identifies songs using an audio fingerprint based on a time-frequency graph called a spectrogram. It uses a smartphone or computer's built-in microphone to gather a brief sample of the audio being played. Shazam stores a catalogue of audio fingerprints in a database.

  3. Search by sound - Wikipedia

    en.wikipedia.org/wiki/Search_by_sound

    Search by sound is the retrieval of information based on audio input. There are a handful of applications, specifically for mobile devices that utilize 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

  4. 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.

  5. List of online music databases - Wikipedia

    en.wikipedia.org/wiki/List_of_online_music_databases

    Music recognition & audio based music retrieval ~40,000,000 [47] Commercially available with SDKs, APIs for file scanning, airplay monitoring, shazam-liked features Free trial available in 15 days Gracenote: Identification service for CDs and other media. ~100,000,000 [48] ~8,000,000 [48] 1 billion "submissions". [49] Quantone

  6. Acoustic fingerprint - Wikipedia

    en.wikipedia.org/wiki/Acoustic_fingerprint

    Shazam's algorithm picks out points where there are peaks in the spectrogram that represent higher energy content. [2] Focusing on peaks in the audio greatly reduces the impact that background noise has on audio identification. Shazam builds their fingerprint catalog out as a hash table, where the key is the frequency.

  7. 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.

  8. Chris Barton (businessman) - Wikipedia

    en.wikipedia.org/wiki/Chris_Barton_(businessman)

    In 2012, Shazam announced that it drove over $300 million a year in music downloads. [ 21 ] [ 22 ] Shazam had raised $143.5 million in venture capital financing and its investors included Kleiner Perkins , [ 23 ] IDG Ventures , [ 16 ] DN Capital , Institutional Venture Partners , Sony Music , Universal Music and Warner Music .

  9. 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.