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  • About two and a half years ago, I watched this movie called "Her."

  • And it features Samantha, a superintelligent form of AI

  • that cannot take physical form.

  • And because she can't appear in photographs,

  • Samantha decides to write a piece of music

  • that will capture a moment of her life just like a photograph would.

  • As a musician and an engineer, and someone raised in a family of artists,

  • I thought that this idea of musical photographs was really powerful.

  • And I decided to create an AI composer.

  • Her name is AIVA, and she's an artificial intelligence

  • that has learned the art of music composition

  • by reading over 30,000 scores of history's greatest.

  • So here's what one score looks like to the algorithm

  • in a matrix-like representation.

  • And here's what 30,000 scores,

  • written by the likes of Mozart and Beethoven,

  • look like in a single frame.

  • So, using deep neural networks, AIVA looks for patterns in the scores.

  • And from a couple of bars of existing music,

  • it actually tries to infer what notes should come next in those tracks.

  • And once AIVA gets good at those predictions,

  • it can actually build a set of mathematical rules

  • for that style of music

  • in order to create its own original compositions.

  • And in a way, this is kind of how we, humans, compose music, too.

  • It's a trial-and-error process,

  • during which we may not get the right notes all the time.

  • But we can correct ourselves,

  • either with our musical ear or our musical knowledge.

  • But for AIVA, this process is taken from years and years of learning,

  • decades of learning as an artist, as a musician and a composer,

  • down to a couple of hours.

  • But music is also a supersubjective art.

  • And we needed to teach AIVA

  • how to compose the right music for the right person,

  • because people have different preferences.

  • And to do that, we show to the algorithm over 30 different category labels

  • for each score in our database.

  • So those category labels are like mood

  • or note density or composer style of a piece

  • or the epoch during which it was written.

  • And by seeing all this data,

  • AIVA can actually respond to very precise requirements.

  • Like the ones, for example, we had for a project recently,

  • where we were commissioned to create a piece

  • that would be reminiscent of a science-fiction film soundtrack.

  • And the piece that was created is called "Among the Stars"

  • and it was recorded with CMG Orchestra in Hollywood,

  • under great conductor John Beal,

  • and this is what they recorded, made by AIVA.

  • (Music)

  • (Music ends)

  • What do you think?

  • (Applause)

  • Thank you.

  • So, as you've seen, AI can create beautiful pieces of music,

  • and the best part of it

  • is that humans can actually bring them to life.

  • And it's not the first time in history

  • that technology has augmented human creativity.

  • Live music was almost always used in silent films

  • to augment the experience.

  • But the problem with live music is that it didn't scale.

  • It's really hard to cram a full symphony into a small theater,

  • and it's really hard to do that for every theater in the world.

  • So when music recording was actually invented,

  • it allowed content creators, like film creators,

  • to have prerecorded and original music

  • tailored to each and every frame of their stories.

  • And that was really an enhancer of creativity.

  • Two and a half years ago, when I watched this movie "Her,"

  • I thought to myself that personalized music

  • would be the next single biggest change in how we consume and create music.

  • Because nowadays, we have interactive content, like video games,

  • that have hundreds of hours of interactive game plays,

  • but only two hours of music, on average.

  • And it means that the music loops and loops and loops

  • over and over again, and it's not very immersive.

  • So what we're working on is to make sure that AI can compose

  • hundreds of hours of personalized music

  • for those use cases where human creativity doesn't scale.

  • And we don't just want to do that for games.

  • Beethoven actually wrote a piece for his beloved, called "Für Elise,"

  • and imagine if we could bring back Beethoven to life.

  • And if he was sitting next to you, composing a music for your personality

  • and your life story.

  • Or imagine if someone like Martin Luther King, for example,

  • had a personalized AI composer.

  • Maybe then we would remember

  • "I had a dream" not only as a great speech,

  • but also as a great piece of music, part of our history,

  • and capturing Dr. King's ideals.

  • And this is our vision at AIVA:

  • to personalize music so that each and every one of you

  • and every individual in the world

  • can have access to a personalized live soundtrack,

  • based on their story and their personality.

  • So this moment here together at TED is now part of our life story.

  • So it only felt fitting that AIVA would compose music for this moment.

  • And that's exactly what we did.

  • So my team and I worked on biasing AIVA on the style of the TED jingle,

  • and on music that makes us feel a sense of awe and wonder.

  • And the result is called "The Age of Amazement."

  • Didn't take an AI to figure that one out.

  • (Laughter)

  • And I couldn't be more proud to show it to you,

  • so if you can, close your eyes and enjoy the music.

  • Thank you very much.

  • (Music)

  • [The Age of Amazement Composed by AIVA]

  • (Music ends)

  • This was for all of you.

  • Thank you.

  • (Applause)

About two and a half years ago, I watched this movie called "Her."

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A2 US TED music compose ai composer personalized

【TED】Pierre Barreau: How AI could compose a personalized soundtrack to your life (How AI could compose a personalized soundtrack to your life | Pierre Barreau)

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    林宜悉 posted on 2018/10/01
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