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Chartbusters

Get hands-on with the latest machine learning techniques and compete in the monthly AWS DeepComposer Chartbusters challenge. Developers will have the opportunity to showcase their machine learning skills, top the musical charts, and win prizes by generating original compositions with AWS DeepComposer. Terms and conditions apply

What is AWS DeepComposer Chartbusters?

Chartbusters is a global challenge where developers use AWS DeepComposer to create original compositions and compete in monthly challenges to showcase their machine learning and generative AI skills.

Every month, AWS will release a Chartbusters challenge that has a unique theme like build a custom genre model, or extend a melody using machine learning. These monthly themes span a breadth of generative AI techniques such as GANs, autoregressive, and transformers.

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AWS DeepComposer keyboard
Create

Developers will use AWS DeepComposer to create their original compositions and submit them to a Chartbusters playlist on SoundCloud. SoundCloud Terms and Conditions may apply.

AWS DeepComposer console
Promote

Listeners from around the world will be invited to vote on the compositions. The top 20 compositions are determined by a sum of customer ‘likes’ and count of ‘plays’ on SoundCloud. Judges will then evaluate and select the top 10 compositions for each challenge.

Publish to SoundCloud
Win prizes

The winner of each monthly challenge will have the opportunity to be featured in the AWS ML blog. Developers who feature in the top 10 will receive an AWS DeepComposer Chartbusters trophy and top 5 finishers will receive an AWS DeepLens device.

Current challenge: Spin the model

July 31st - August 23rd, 2020

Whether your jam is reggae, hip-hop or electronic you can get creative and enter this challenge! The latest Chartbusters Challenge is to create a custom music genre model (for example Reggae) by using the provided Amazon SageMaker notebook and your own dataset. To participate in the challenge you’ll first need to train a model and create a composition using your dataset and the Amazon SageMaker notebook. Next, you import the composition in AWS DeepComposer console, and finally, submit the composition to SoundCloud via the AWS DeepComposer console. When you submit a composition, AWS DeepComposer will automatically add your composition to the Spin the Model challenge playlist in SoundCloud. A physical keyboard is not required to participate in the challenge.

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Current challenge: Spin the model

July 31st - August 23rd, 2020

Whether your jam is reggae, hip-hop or electronic you can get creative and enter this challenge! The latest Chartbusters Challenge is to create a custom music genre model (for example Reggae) by using the provided Amazon SageMaker notebook and your own dataset. To participate in the challenge you’ll first need to train a model and create a composition using your dataset and the Amazon SageMaker notebook. Next, you import the composition in AWS DeepComposer console, and finally, submit the composition to SoundCloud via the AWS DeepComposer console. When you submit a composition, AWS DeepComposer will automatically add your composition to the Spin the Model challenge playlist in SoundCloud. A physical keyboard is not required to participate in the challenge.

Current challenge: Spin the model

July 31st - August 23rd, 2020

Whether your jam is reggae, hip-hop or electronic you can get creative and enter this challenge! The latest Chartbusters Challenge is to create a custom music genre model (for example Reggae) by using the provided Amazon SageMaker notebook and your own dataset. To participate in the challenge you’ll first need to train a model and create a composition using your dataset and the Amazon SageMaker notebook. Next, you import the composition in AWS DeepComposer console, and finally, submit the composition to SoundCloud via the AWS DeepComposer console. When you submit a composition, AWS DeepComposer will automatically add your composition to the Spin the Model challenge playlist in SoundCloud. A physical keyboard is not required to participate in the challenge.

How to compete
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Use the provided Amazon SageMaker notebook to train a model and create a composition

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Import composition in AWS DeepComposer console

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Submit your composition and notebook to Soundcloud via the console

Meet the judges
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Wayne Chi

Occupation: Software Engineer, AWS DeepComposer

Wayne Chi is a ML Engineer and AI Researcher at AWS. He works on researching interesting Machine Learning problems to teach new developers and then bringing those ideas into production. Prior to joining AWS he was a Software Engineer and AI Researcher at JPL, NASA where he worked on AI Planning and Scheduling systems for the Mars 2020 Rover (Perseverance). In his spare time he enjoys playing tennis, watching movies, and learning more about AI.

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Kesha Williams

Occupation: AWS Training Architect at A Cloud Guru

Kesha Williams is an award-winning software engineer, a machine learning practitioner, and a training architect at A Cloud Guru with 25 years of experience in IT.  She's trained and mentored thousands of software developers in the US, Europe, and Asia while teaching at the university level. Her pioneering work in the field of artificial intelligence earned her the distinctions of AWS Machine Learning Hero and Alexa Champion. In her spare time, she serves as a mentor to women in tech. Check out her free web series, DeepComposer: Train it Again Maestro, on A Cloud Guru.

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Umut Isik

Occupation: Senior Applied Scientist, AWS

Umut Isik is a machine learning scientist at AWS AI, using deep learning methods to develop never-before-possible capabilities for signal, audio, and music processing. A former mathematician who did research and taught at University of Vienna and UC Irvine, Umut is also an amateur musician who composes electronic music.

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AWS DeepComposer Chartbusters Rules

Information on AWS DeepComposer Chartbusters rules and eligibility requirements.

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Learn more about pricing

Information on AWS DeepComposer pricing and integration with other AWS services.

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