Welcome to the Music Theory repository! This project focuses on music theory analysis and the design of algorithms that enhance musical understanding. This is a personal interest project and is currently a work in progress.
Music theory serves as the foundation for understanding music composition, performance, and analysis. This repository aims to explore various aspects of music theory through programming. By using algorithms, we can analyze chord progressions, scales, and other musical elements. The project is designed to help both musicians and programmers appreciate the intricacies of music.
- Chord Progression Analysis: Understand how different chords work together.
- Circle of Fifths: Visualize relationships between keys.
- Optimized Algorithms: Use time and space complexity-optimized algorithms for music analysis.
- Machine Learning Integration: Explore how machine learning can enhance music theory applications.
- Graphical User Interface (GUI): Create a user-friendly interface for interaction.
To get started with the Music Theory project, follow these steps:
-
Clone the Repository:
git clone https://github.com/Chirikikuto/Music-Theory.git
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Navigate to the Project Directory:
cd Music-Theory -
Install Dependencies: Make sure you have the necessary libraries installed. You can find a list of dependencies in the
requirements.txtfile. -
Download the Latest Release: Visit the Releases section to download the latest version. Make sure to execute the relevant files after downloading.
After setting up the project, you can start using the features. Here’s how to use some of the main functionalities:
- Load your musical piece.
- Use the provided functions to analyze chord progressions.
- Get insights on how to improve or change your progression.
- Access the Circle of Fifths tool in the GUI.
- Select a key to visualize.
- Explore the relationships and transitions between keys.
- Train your model using the provided datasets.
- Use the trained model to predict chord progressions or scales.
- Fine-tune your model for better accuracy.
This repository covers a variety of topics relevant to music theory and programming:
- C++: Core programming language for algorithm design.
- Chord Progression: Analyzing how chords relate and function.
- Circle of Fifths: Understanding key relationships.
- Clean Code: Writing maintainable and readable code.
- Digital Audio Workstation (DAW): Integrating with music production tools.
- Graphical User Interface (GUI): Building user-friendly interfaces.
- Machine Learning: Applying ML techniques to music theory.
- MusicPy: Utilizing the MusicPy library for musical analysis.
- Python: Scripting language for rapid development.
- Scales: Exploring different musical scales.
- Time and Space Complexity: Optimizing algorithms for performance.
We welcome contributions to the Music Theory project! If you would like to help, please follow these steps:
- Fork the Repository: Click on the fork button in the top right corner.
- Create a New Branch:
git checkout -b feature/YourFeatureName
- Make Your Changes: Implement your feature or fix.
- Commit Your Changes:
git commit -m "Add Your Feature" - Push to the Branch:
git push origin feature/YourFeatureName
- Open a Pull Request: Go to the original repository and click on "New Pull Request".
We appreciate your interest and effort in improving this project!
This project is licensed under the MIT License. See the LICENSE file for more details.
For questions or suggestions, please reach out to the repository owner:
- GitHub: Chirikikuto
- Email: chirikikuto@example.com
Thank you for visiting the Music Theory repository! We hope you find it useful for your musical and programming endeavors. Don’t forget to check the Releases section for the latest updates and downloads.