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Awesome-Audio-Generation is a collection of resources for Text-to-Audio Generation, focusing on ambient sound and music. 🎡 Explore foundational models and contribute your findings to help grow this GitHub community! πŸ™

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Awesome Audio Generation 🎢

Welcome to the Awesome Audio Generation repository! This is a curated collection of papers, codes, and resources related to Text-to-Audio (TTA) Generation. Whether you are a researcher, developer, or enthusiast, this repository aims to provide you with valuable insights and tools in the field of audio generation from text.

Table of Contents

Introduction

Text-to-Audio Generation is an exciting area of research that combines natural language processing with audio synthesis. This repository serves as a comprehensive resource for those looking to explore the latest advancements, methodologies, and applications in TTA. From academic papers to practical implementations, you will find a wealth of information to enhance your understanding and projects.

Getting Started

To get started with the resources in this repository, you can visit the Releases section. Here, you can download the latest releases and execute them to explore the functionalities of various TTA tools and libraries.

Installation

  1. Clone the repository:

    git clone https://github.com/Ploscha/Awesome-Audio-Generation.git
    cd Awesome-Audio-Generation
  2. Follow the instructions in the respective resources to set up the environment and dependencies.

  3. Execute the downloaded files as per the documentation provided in each release.

Resources

This section provides a curated list of papers, codes, and other resources related to Text-to-Audio Generation.

Papers

  • Title: Text-to-Speech Synthesis: A Review

    • Authors: Author A, Author B
    • Summary: This paper reviews various techniques in TTS, including neural networks and traditional methods.
  • Title: Advancements in TTA Models

    • Authors: Author C, Author D
    • Summary: This paper discusses recent advancements in TTA models, focusing on deep learning approaches.

Code Implementations

  • Repository: TTA-Model

    • Description: A PyTorch implementation of a TTA model.
    • Usage: Follow the README in the repository for installation and usage instructions.
  • Repository: Text-to-Audio-Toolkit

    • Description: A comprehensive toolkit for TTA generation.
    • Usage: Check the documentation for detailed setup and examples.

Additional Resources

Contributing

We welcome contributions from the community! If you would like to add resources or improve existing content, please follow these steps:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature/YourFeature).
  3. Make your changes and commit them (git commit -m 'Add some feature').
  4. Push to the branch (git push origin feature/YourFeature).
  5. Open a pull request.

Please ensure that your contributions align with the goals of this repository and adhere to our code of conduct.

License

This repository is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any inquiries or feedback, feel free to reach out:


Thank you for visiting the Awesome Audio Generation repository! We hope you find it useful for your exploration of Text-to-Audio Generation. Don’t forget to check the Releases section for the latest updates and tools. Happy exploring! 🎧

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Awesome-Audio-Generation is a collection of resources for Text-to-Audio Generation, focusing on ambient sound and music. 🎡 Explore foundational models and contribute your findings to help grow this GitHub community! πŸ™

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