AWS DeepComposer FAQ

Starting September 18, 2025, you can no longer access AWS DeepComposer through the AWS management console or access any models or compositions you have created.

After September 17, 2025, all AWS DeepComposer models and compositions will be deleted from the AWS DeepComposer service. You will not be able to discover or access the AWS DeepComposer service from your AWS console, and applications that call the AWS DeepComposer API will no longer work.

You can access AWS DeepComposer models and compositions until September 17, 2025. You will not have access to the AWS DeepComposer console or API after the EOL date. Any application that calls on the AWS DeepComposer API will not work, and all data created on AWS DeepComposer will be deleted. If you want to retain any data you created on AWS DeepComposer, you must download it before the EOL date, see Download your AWS DeepComposer models and compositions.

After the EOL date AWS DeepComposer will delete all resources and data you created within the AWS DeepComposer service. To delete your AWS DeepComposer models and compositions before September 18, 2025, see Delete your AWS DeepComposer models and compositions.

After September 17, 2025, you will not have access to the AWS DeepComposer console. You can continue using your MIDI-compatible AWS DeepComposer keyboard with a digital audio workstation (DAW) on your personal computer.

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AWS DeepComposer is the world’s first musical keyboard powered by machine learning to enable developers of all skill levels to learn Generative AI while creating original music outputs. DeepComposer consists of a USB keyboard that connects to the developer’s computer, and the DeepComposer service, accessed through the AWS Management Console. DeepComposer includes tutorials, sample code, and training data that can be used to start building generative models.

AWS DeepComposer is the world’s first musical keyboard designed specifically to work with the DeepComposer service to teach developers Generative AI. AWS DeepComposer gives developers a simple way to learn and experiment with Generative AI algorithms, train models, and compose musical outputs.

No musical knowledge is required to use DeepComposer. DeepComposer provides you a quick and easy way to get started by providing sample melodies such as Twinkle, Twinkle, Little Star, or Ode to Joy. You can use these sample melodies as an input to generate an entirely new musical output, with a 4 part accompaniment.

Viewed by some as the most interesting machine learning idea in a decade, Generative AI allows computers to learn the underlying pattern of a given problem and use this knowledge to generate new content from input (such as image, music, and text). In contrast to more commonly used machine learning models that learn to differentiate, for example between images of cats and dogs (by identifying traits that set them apart), a Generative AI model based on cat images would learn the features that are common across cats, and use that knowledge to generate all-new images of what it believes are cats. This difference is significant because with the advancement in Generative AI algorithms, machines can automatically discover and learn the patterns in data and generate new data based on the data they were trained on.

You will have the best experience with the DeepComposer keyboard, through integration with keyboard buttons that can control recording of musical phrases and generation of new musical outputs when working with the DeepComposer cloud service. For those without the DeepComposer keyboard, the management console includes an on-screen virtual keyboard that allows developers to input musical notes in a similar fashion.

You can use the virtual keyboard DeepComposer management console provides from anywhere in the world by signing into US East (N. Virginia) Region.

Customers can access the AWS DeepComposer console from the US East (N. Virginia) Region.

• Item weight: 1.68 pounds

• Product dimensions: 18.1x4.9x1.2 inches

• Shipping weight: 2.3 pound

• Features: 32 velocity-sensitive keys, 1 endless encoder, 3 rotary knobs and 11 function buttons with LED back lit, USB powered

DeepComposer will come with four pre-trained genre models: rock, pop, jazz, and classical.

The AWS DeepComposer getting started page provides a tutorial to get you started with Generative AI and training your first model. The AWS DeepComposer documentation provides additional details on training your model, composing music with trained models, and evaluating your trained models.

Yes. DeepComposer is a cloud service, connection to the internet is required to run inference against models for musical creations.

No. DeepComposer comes with pre-trained genre models to help you get started with Generative AI technologies.

Yes. You can bring your own music dataset in MIDI format and create your own custom models in SageMaker.

You can run your custom models within DeepComposer console where you’ll be able to optimize for hyperparameters and select your dataset.

Yes, you can save and export your musical creations in MIDI for additional processing using external tools, or in wav or mp3 format for sharing. Choose either the ‘Download MIDI’ or ‘Submit to SoundCloud’ button on DeepComposer console to export and save your creations.

Yes, you can download your input melody from the music studio in AWS DeepComposer console.

You can submit your creations to SoundCloud by choosing the Submit to SoundCloud button on the DeepComposer console. You will be required to log into your SoundCloud account for permissions.

AWS DeepComposer Chartbusters is a competition for developers to create compositions using AWS DeepComposer and compete in a monthly challenge to top the charts and win prizes.

We determine the top 20 finalists using an aggregate of customer ‘likes’ and count of ‘plays’. A panel of human and AI judges will evaluate the shortlist for musical quality and creativity to select the top 10 ranked compositions. We will announce the top 10 compositions in an AWS ML blog post, and feature them in an exclusive AWS top 10 playlist on SoundCloud and in the AWS DeepComposer console. Developers whose composition ranks in the top 10 will receive an AWS DeepComposer Chartbusters trophy award mailed to their physical address and the top 5 on this list will also receive an AWS DeepLens device worth $249. We will interview the winner of each month’s challenge and feature them in an AWS ML blog post.

When developers submit their composition, it appears on a dedicated playlist (example, Bach to the Future playlist) on SoundCloud. Developers in the community can view and listen to all submissions for the Bach to the Future challenge in the playlist. They ‘heart’ for their favorite compositions and can like several compositions.

While we will feature only their best trending composition in the AWS Top-10 playlist.

Developers can participate in multiple challenges. If they don’t make it to the top 10 in one challenge, they can participate in the next challenge for a chance to top the charts.

We will announce the top 10 compositions in an AWS ML blog post, and feature them in an exclusive AWS top 10 playlist on SoundCloud and in the AWS DeepComposer console. Developers whose composition ranks in the top 10 will receive an AWS DeepComposer Chartbusters trophy award mailed to their physical address and the top 5 on this list will also receive an AWS DeepLens device worth $249. We will interview the winner of each month’s challenge and feature them in an AWS ML blog post.

No, each challenge stands independent. There is no final culmination of the monthly winners.

Yes, developers can share their compositions with friends and family using the social sharing buttons available on SoundCloud and invite them to “like” their compositions.

Customer “likes” and count of “plays” will only get the compositions to Top-20. We have implemented manual evaluation by a panel of judges comprising musical and technical expertise. The judging panel will listen to the top 20 compositions and evaluate on a scoring matrix.

The first challenge Bach to the Future opens on June 17th, 2020, and ends on July 16th, 2020. Top 20 compositions based on an aggregate of customer ‘likes’ and count of ‘plays’ will proceed for manual evaluation on July 16th. We will announce the top 10 compositions on July 21st in an AWS ML blogpost and announce the next challenge. We will feature the top 10 compositions in a separate playlist titled AWS top 10 for Bach to the Future in SoundCloud and the AWS DeepComposer console.