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What is AWS DeepComposer?

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AWS DeepComposer is a service offered by Amazon Web Services. This service is a combination of machine learning algorithms and AI that allows its users and primarily musicians to create original music. The service allows users to generate musical compositions by training machine learning models on various datasets according to the genres available. Here are some key terminologies associated with AWS DeepComposer as follows.

  • GAN or Generative Adversarial Network – It is a deep learning model that creates new data from existing data. For instance, GAN is used in AWS DeepComposer to generate new music compositions from existing musical inputs provided by the user. 
  • Model – Machine learning models are mathematical representations of problem domains. Here GAN model is used in AWS DeepComposer to create new music based on existing music inputs.
  • Reward Function – A reward function is nothing but a function that is used to train a neural network in reinforcement learning. The reward function in AWS DeepComposer is used to evaluate the quality of created music and if quality is up to the mark a positive feedback is offered to the neural network in exchange.
  • MIDI (Musical Instrument Digital Interface) – MIDI is a standard for storing and transmitting music. Here music doesn’t refers to audio rather it refer to instrumental sounds. 

In this article we will learn about AWS DeepComposer. AWS, or Amazon Web Services, is a cloud service platform that offers database, storage, and computing services. It provides over 200 services, and while each has limits, they may be combined to build powerful applications with proper AWS architecture. One example of such a service is AWS DeepComposer. 

Features of AWS DeepComposer

  1. Pre-trained Models – AWS DeepComposer has pre-trained models for generating music of various genres.
  2. Model Customization – Users may build and train their own custom models using their own music datasets.
  3. MIDI export – Generated music can be exported as MIDI files for further editing and processing. Musical Instrument Digital Interface (MIDI) is a music transmission and storage standard that was initially created for digital music synthesizers.
  4. AWS Integration – AWS DeepComposer can be integrated with other AWS services for better data management and model training.

Architecture of of AWS DeepComposer

AWS DeepComposer is a cloud-based service that enables users to create original music through a neural network called the Deep Learning Generative Model. AWS DeepComposer architecture comprises of the following components.

  • AWS DeepComposer Console – The user interface of the service, where users can create and train their own models, as well as generate music using pre-trained models. This interface is used for making initial configurations.
  • Amazon S3 As we all know, training a model uses batches of data depending upon the training algorithm used. A scalable cloud storage service used to store and manage input data, models, and output files. 
  • Amazon SageMakerA fully-managed machine learning service which is used to train and deploy machine learning models at scale.
  • AWS Lambda It is nothing but a serverless compute service used to execute code in response to events, such as generating music when a user requests it. This helps in managing the workflow as each event is connect to other and will execute after other.

Refer to the AWS DeepComposer architecture’s diagram for a deeper understanding of the service.

AWS DeepComposer Architecture

AWS DeepComposer Architecture

Advantages of AWS DeepComposer

  1. Creative Tool – AWS DeepComposer provides a creative platform for musicians and developers to experiment with AI-generated music and create unique compositions.
  2. Simple User Interface – The user interface of AWS DeepComposer is simple and straightforward, allowing users to easily navigate through the service and create music with minimal coding knowledge as the use of console is easy to understand.
  3. Integration – AWS DeepComposer can be easily integrated with other AWS services, such as Amazon S3 for data related requirements and Amazon SageMaker for training of the machine learning model.
  4. Cost-effective – As we all know, AWS has a pay as you use billing model. Thus, AWS DeepComposer also acts as a cost-effective solution for musicians who want to blend their music with technology and generate unique music.

Disadvantages of AWS DeepComposer

  1. Limited Genre – AWS DeepComposer is not being popularly used  as it is currently only offering support for a limited number of music genres, such as classical and pop music. 
  2. Limited Customization – AWS DeepComposer’s pre-trained models are limited in terms of customization, which may restrict users from creating truly unique music.
  3. Dependency on AWS – Since, AWS DeepComposer is a cloud-based service and requires a reliable internet connection to function.

Uses of AWS DeepComposer

  • Music Composition – As the name and working suggests, AWS DeepComposer is majorly used for composition of unique music. For composition, users can either use the pre-built models or customize models from scratch for themselves.
  • Education – AWS DeepComposer may be used in music education as a teaching tool. Educators may help students explore the integration of music and technology by displaying them to the notion of AI-generated music.

In conclusion, AWS DeepComposer is a service offered by AWS cloud for users to integrate music and technology to extract unique music. Due to worldwide presence of AWS services, AWS DeepComposer has a large audience. Right now, it has limited genres present but in future as they expand and introduce more genres, it will have a larger scope in the field of music education and research industry.


Last Updated : 26 May, 2023
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