AI Music Studio

Welcome to the AI Music Studio project! This software leverages artificial intelligence to transform user voice hints into musical compositions, making music production accessible to everyone.

Objective : Designing a music production studio software with AI capabilities to convert voice hints into music.

Table of Contents

• Introduction
• Features
• System Design
• Software Requirements Specification (SRS)
• Getting Started
  • Prerequisites
  • Installation
• How to Use
• Contributing
• License

Introduction

AI Music Studio is a revolutionary music production tool that allows users to create compositions simply by providing voice hints. The software employs advanced AI models to interpret user input, generating melodies, harmonies, rhythms, and arrangements automatically. Whether you're a seasoned musician or a beginner, AI Music Studio makes music creation intuitive and accessible.

Features

• Voice-to-text conversion for user hints.
• AI-powered music composition, including melody, harmony, rhythm, and arrangement.
• Adjustable parameters for user customization.
• Audio playback and fine-tuning controls.
• Export compositions to standard music file formats for compatibility with external platforms.

System Design

1. Frontend

• Description:

  • User interface for interacting with the music production studio.
  • Allows users to input voice hints and control various parameters.

• Key Components:

  • Voice input module for capturing user hints.
  • UI controls for adjusting music elements (tempo, instruments, effects).

2. Backend

• Description:

  • Handles processing of voice hints, music generation, and storage.
  • Integrates AI models for music composition.

• Key Components:

  • Voice-to-Text Conversion:

    • Converts user voice hints to text using speech recognition.

  • AI Music Composition:

    • Utilizes machine learning models to generate music based on user input.
    • Models trained on diverse musical styles, genres, and user preferences.

  • Music Storage:

    • Stores generated music tracks and user compositions.

3. Music Generation AI Models

• Description:

  • Employs AI models for generating music based on user voice hints.
  • Models are trained on vast musical datasets.

• Key Models:

  • Melody generation model.
  • Harmony and chord progression model.
  • Rhythm and beat generation model.
  • Instrumentation and arrangement model.

4. Output Module

• Description:

  • Plays back the generated music for user evaluation.
  • Allows users to make adjustments and fine-tune the composition.

• Key Components:

  • Audio playback engine.
  • UI controls for adjusting playback parameters.

5. User Data and Preferences

• Description:

  • Stores user preferences and past compositions.
  • Enhances AI music generation by understanding individual user styles.

• Key Components:

  • User profile and preferences database.

6. Security Measures

• Description:

  • Implements security measures for user data protection.
  • Ensures secure communication between frontend and backend.

• Key Practices:

  • Data encryption in transit and at rest.
  • Secure user authentication.

7. Integration with External Platforms

• Description:

  • Allows users to export their compositions to popular music production software.
  • Supports seamless collaboration with other platforms.

• Key Components:

  • Export functionality to standard music file formats (e.g., MIDI, WAV).

Software Requirements Specification (SRS)

1. Introduction

1.1 Purpose

The purpose of this document is to define the requirements for the development of a Music Production Studio Software that utilizes artificial intelligence to generate music based on user voice hints.

1.2 Scope

The software will provide a user-friendly interface for users to input voice hints, and the backend AI models will generate musical compositions. Users can adjust various parameters and export compositions to external music production platforms.

2. Functional Requirements

2.1 User Input

• Voice-to-Text Conversion:
  • The system shall convert user voice hints to text using speech recognition.

2.2 AI Music Composition

• Melody Generation:

  • The system shall generate melodies based on user input.

• Harmony and Chord Progression:

  • The system shall create harmonies and chord progressions for the generated melodies.

• Rhythm and Beat Generation:

  • The system shall generate rhythms and beats in alignment with the user's voice hints.

• Instrumentation and Arrangement:

  • The system shall select and arrange instruments based on user preferences and voice hints.

2.3 Output Module

• Audio Playback:

  • The system shall play back the generated music for user evaluation.

• User Controls:

  • Users shall have controls to adjust playback parameters, such as tempo and effects.

2.4 Music Export

• Export to External Platforms:
  • The system shall allow users to export their compositions to standard music file formats compatible with external music production software.

3. Non-Functional Requirements

3.1 Performance

• The system shall respond to user interactions within 2 seconds.
• Music generation shall be completed within 10 seconds.

3.2 Security

• User data and compositions shall be encrypted in transit and at rest.
• Secure user authentication shall be implemented.

3.3 Usability

• The user interface shall be intuitive and user-friendly.
• Voice-to-text conversion accuracy shall be at least 95%.

3.4 Compatibility

• The system shall be compatible with major operating systems (Windows, macOS, Linux).

4. Technical Requirements

4.1 Frontend

• React or Angular for the user interface.
• Voice recognition API for voice-to-text conversion.

4.2 Backend

• Node.js or Python for backend development.
• AI/ML frameworks (e.g., TensorFlow, PyTorch) for music generation models.

4.3 Database

• MongoDB or MySQL for user data storage.

4.4 Integration

• APIs for seamless integration with external music production platforms.

5. Constraints

• The development budget is limited; cost-effective solutions should be prioritized.
• The application development timeline is one year.

6. Acceptance Criteria

• The application must successfully generate music based on user voice hints.
• Users should be able to adjust and fine-tune the generated compositions.
• Exported compositions should be compatible with popular music production software.

How to Use

1. Start the application:

   npm start

2. Open the application in your web browser (http://localhost:3000).

3. Navigate to the user interface and provide voice hints to generate music.

4. Adjust parameters, fine-tune the composition, and explore various customization options.

5. Use the playback controls to listen to the generated music.

6. Export your composition to standard music file formats for use in external platforms.

Contributing

We welcome contributions from the community! If you'd like to contribute to the project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your fork.
5. Submit a pull request.

Please make sure to follow the code of conduct when contributing.

License

This project is licensed under the Apache License.