Making Sense of Sound: What Does Machine Learning Mean for Music? | Features - Datanami

AI has proven to have a considerable impact on some major industries, says Alex Paretski, knowledge manager at Itransition, Denver, Colorado-based software development company.

Photo: whiteMocca/Shutterstock

While autonomous cars and virtual assistants are slowly becoming a reality, the creative industry has been experimenting with AI for several years already. Does it have meaningful implications and if so, what will it bring in the future?

It’s universally agreed that the first computer-assisted music score dates back to 1957 when composers Lejaren Hiller and Leonard Isaacson unveiled Illiac Suite for string quartet. Utilizing the interconnection between mathematics and music, Hiller was able to program the computer to come up with a stunning four-piece musical score.

One of the most notable AI-assisted music projects happened two years ago...

What’s Next? 
Thanks to AI-powered tools, we are likely to hear more music coming out. Both artists and audio engineers will have more time for creativity, leaving repetitive tasks to machines.

Moreover, with the advancement of tools like Amper, we will probably see more music hobbyists. Pascan Pilon, CEO at Landr, argues that our relationship to music will most likely be social media-based. With such moderate knowledge and skill barriers to writing music with AI, making music and getting ‘listens’ will become similar to posting photos on Instagram and getting likes.
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Source: Datanami