Orchestra music created with the help of artificial intelligence

You wouldn’t think that articles on business and tech topics would make for the most beautiful music. But believe it or not, they were used by an artificial intelligence system and human composers to create an original symphony.

It sounds like science fiction, but last week inside the Louvre Pyramid in Paris, a 50-piece orchestra performed “Symphonologie,” a “symphonic experience” from Accenture Strategy, a business and technology consulting firm. The project aims to shed light on the tangible uses of this kind of artificial intelligence and its broad potential.

“Initially, we talked about what could be a way for us to grab our clients and others in the business world? What would draw their attention? We wanted to show what’s happening with digital and technology, and we thought about metaphors that cross cultures. What languages cross cultures? What’s universal? We realized that music cuts straight through the list – there are so many different cultures and spoken languages around the world and we quickly went to music as something that transcends culture,” Mark Knickrehm, group chief executive at Accenture Strategy, told CBS News. “The big question was how do you make music in the digital space using technology and artificial intelligence​? It was quite creative to go from there. Words have real meaning, and they can make music.”

How was the orchestral work created?

First, Hannah Davis, a creative technologist and musician, used her TransProse artificial intelligence program to aggregate and analyze articles on business and tech – enough articles to fill a 600-page book. The program pinpointed “emotionally charged words” from these texts.

Then, these words were categorized into eight different sentiments, representing distinct emotions. The data from each category was transferred into a corresponding musical element – think pitch, notes, or keys, for instance. The results were digitized into different audio files that were assigned to specific orchestra instruments. This essentially created a basic sample of what the music​ composed from this data would sound like.

You wouldn’t think that articles on business and tech topics would make for the most beautiful music, but believe it or not, they were used by an artificial intelligence system and human composers to create an original symphony.

It sounds like science fiction, but last week inside the Louvre Pyramid in Paris, a 50-piece orchestra performed “Symphonologie,” a “symphonic experience” from Accenture Strategy, a business and technology consulting firm. The project aims to shed light on the tangible uses of this kind of artificial intelligence and its broad potential.

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“Initially, we talked about what could be a way for us to grab our clients and others in the business world? What would draw their attention? We wanted to show what’s happening with digital and technology, and we thought about metaphors that cross cultures. What languages cross cultures? What’s universal? We realized that music cuts straight through the list – there are so many different cultures and spoken languages around the world and we quickly went to music as something that transcends culture,” Mark Knickrehm, group chief executive at Accenture Strategy, told CBS News. “The big question was how do you make music in the digital space using technology and artificial intelligence​? It was quite creative to go from there. Words have real meaning, and they can make music.”

First, Hannah Davis, a creative technologist and musician, used her TransProse artificial intelligence program to aggregate and analyze articles on business and tech – enough articles to fill a 600-page book. The program pinpointed “emotionally charged words” from these texts.

Then, these words were categorized into eight different sentiments, representing distinct emotions. The data from each category was transferred into a corresponding musical element – think pitch, notes, or keys, for instance. The results were digitized into different audio files that were assigned to specific orchestra instruments. This essentially created a basic sample of what the music​ composed from this data would sound like.

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