Learn how the winner of the AWS DeepComposer Chartbusters Keep Calm and Model On challenge used Transformer algorithms to create music

 Learn how the winner of the AWS DeepComposer Chartbusters Keep Calm and Model On challenge used Transformer algorithms to create music

AWS is excited to announce the winner of the AWS DeepComposer Chartbusters Keep Calm and Model On challenge, Nari Koizumi. AWS DeepComposer gives developers a creative way to get started with machine learning (ML) by creating an original piece of music in collaboration with artificial intelligence (AI). In June 2020, we launched Chartbusters, a global competition where developers use AWS DeepComposer to create original AI-generated compositions and compete to showcase their ML skills. The Keep Calm and Model On challenge, which ran from December 2020 to January 2021, challenged developers to use the newly launched Transformers algorithm to extend an input melody by up to 20 seconds to create new and interesting musical scores from an input melody.

We interviewed Nari to learn more about his experience competing in the Keep Calm and Model On Chartbusters challenge, and asked him to tell us more about how he created his winning composition.

Learning about AWS DeepComposer

Nari currently works in the TV and media industry and describes himself as a creator. Before getting started with AWS DeepComposer, Nari had no prior ML experience.

“I have no educational background in machine learning, but I’m an artist and creator. I always look for artificial intelligence services for creative purposes. I’m working on a project, called Project 52, which is about making artwork everyday. I always set a theme each month, and this month’s theme was about composition and audio visualization.”

Nari discovered AWS DeepComposer when he was gathering ideas for his new project.

“I was searching one day for ‘AI composition music’, and that’s how I found out about AWS DeepComposer. I knew that AWS had many, many services and I was surprised that AWS was doing something with entertainment and AI.”

Nari at his work station.

Building in AWS DeepComposer

Nari saw AWS DeepComposer as an opportunity to see how he could combine his creative side with his interest in learning more about AI. To get started, Nari first played around in the AWS DeepComposer Music Studio and used the learning capsules provided to understand the generative AI models offered by AWS DeepComposer.

“I thought AWS DeepComposer was very easy to use and make music. I checked through all the learning capsules and pages to help get started.”

For the Keep Calm and Model On Chartbusters challenge, participants were challenged to use the newly launched Transformers algorithm, which can extend an input melody by up to 30 seconds. The Transformer is a state-of-the-art model that works with sequential data such as predicting stock prices, or natural language tasks such as translation. Learn more about the Transformer technique in the learning capsule provided on the AWS DeepComposer console.

“I used my ke

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Source - Continue Reading: https://aws.amazon.com/blogs/machine-learning/learn-how-the-winner-of-the-aws-deepcomposer-chartbusters-keep-calm-and-model-on-challenge-used-transformer-algorithms-to-create-music/

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