Custom Soundtrack Platform Soundwhich Announces Plans to Use Artificial Intelligence (AI) Technologies to Mass Produce Music Composition

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With AI technologies like deep learning, Soundwhich aims to combine the creativity of human composers with the productivity of machine composers.

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The human’s choices can be expressed by probabilities, so a machine can learn to emulate, then compose hundreds of songs in a second.

Today, Silicon Valley based Varidada Inc. announces their plans to use artificial intelligence (AI) to vastly expand the music library of their custom soundtrack platform, Soundwhich.

Soundwhich’s stock music library has already accumulated more than 235 billion unique songs. Musicians around the world compose music for Soundwhich using a set of common musical rules, which allows their musical elements to be freely combined and developed into new materials.

“This provides very interesting opportunities for AI researchers to learn how human composers fit musical notes into the chords and rhythms,” says Soundwhich developer Bates McAga, an expert in machine learning research and music information retrieval. “The human’s choices can be expressed by probabilities, so a machine can learn to emulate, then compose hundreds of songs in a second,” explains McAga.

While computers can reproduce most musical instruments via sampling and synthesis, they routinely fail to mimic the nuances and expressions that exist in the human performance. Therefore, Soundwhich’s new two-fold approach is to mix the expressive tracks (vocals, guitars, etc) by humans and mechanical tracks (synthesizers, drums, etc) by machines.

Soundwhich’s new approach will allow custom soundtracks to be added to user projects, which will be useful for advertising agencies, filmmakers, and game developers. Since machines don’t have copyright privilege, music users can acquire the music licenses at a low cost. The foolproof customization tool that Soundwhich provides grants users the flexibility to easily customize and combine their own tracks.

Since 2016, the San Francisco-based startup, Varidada, Inc., has been transforming how people create, listen, and consume music on the Internet. The company has developed advanced machine learning and audio processing algorithms to lower the barriers of music collaboration, finally making the mass production of unique music pieces possible.

Learn more about the music library at http://www.soundwhich.com.

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Roger Chen
Varidada Inc
+1 (628) 333-9014
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