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  2. Search by sound - Wikipedia

    en.wikipedia.org/wiki/Search_by_sound

    From there, song information will be queried and displayed to the user. These kinds of applications are mainly used for finding a song that the user does not already know. Searching by sound is not limited to just identifying songs, but also for identifying melodies, tunes or advertisements, sound library management and video files.

  3. Shazam (music app) - Wikipedia

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

    The user records a song for 10 seconds and the application creates an audio fingerprint. Shazam works by analyzing the captured sound and seeking a match based on an acoustic fingerprint in a database of millions of songs. [7] If it finds a match, it sends information such as the artist, song title, and album back to the user.

  4. Acoustic fingerprint - Wikipedia

    en.wikipedia.org/wiki/Acoustic_fingerprint

    Most audio compression techniques will make radical changes to the binary encoding of an audio file, without radically affecting the way it is perceived by the human ear. A robust acoustic fingerprint will allow a recording to be identified after it has gone through such compression, even if the audio quality has been reduced significantly.

  5. WhoSampled's mobile app is Shazam for song samples - AOL

    www.aol.com/news/2018-06-28-whosampled-music...

    WhoSampled has introduced Shazam-style music recognition to its Android and iOS apps, helping you identify both the song you're listening to and (if it's in the company's database) discover its ...

  6. 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.

  7. A musician made $10M streaming AI-written songs with fake ...

    www.aol.com/musician-made-10m-streaming-ai...

    A musician was charged with using bots to rack up billions of streams for AI-generated music. Michael Smith made $10 million from the streams, against the platforms' policies, the DOJ said.

  8. ACRCloud - Wikipedia

    en.wikipedia.org/wiki/ACRCloud

    Its creator intended to help media, broadcasters and app developers to identify, monitor and monetize content on the second screen. [1] ACRCloud allows users to upload their own content and ingest live feeds for audio identification and broadcast monitoring. Beyond that, ACRCloud has indexed over 68 million tracks in its music fingerprinting ...

  9. How To Make Money With AI-Generated Music - AOL

    www.aol.com/finance/money-ai-generated-music...

    If you have time to experiment with AI audio tools to generate music, edit music or handle production, you could find a new income stream. More From GOBankingRates 4 Best Money Lessons From Elon Musk