Moira is an experimental project aimed at teaching computers to create music in a manner akin to how one would instruct a music student. Unlike conventional music generators that rely solely on AI-generated randomness, Moira emphasizes the incorporation of fundamental music theory principles into the music generation process.
Traditional music generation techniques often overlook the principles of music theory, resulting in compositions that lack coherence and structure. With Moira, we seek to bridge this gap by introducing basic music theory concepts and the compositional process to computer-generated music. By treating elements such as basslines, chords, and melodies as distinct entities rather than amalgamating them, Moira aims to produce compositions that are not only algorithmically generated but also musically informed.
- Educational Approach: Moira employs an instructional framework inspired by traditional music education methods, teaching computers the fundamentals of music theory and composition.
- Modular Composition: Unlike conventional music generators that generate entire compositions in one go, Moira breaks down the compositional process into separate components such as basslines, chords, and melodies. This modular approach allows for greater flexibility and control over the generated music.
- Music Theory Integration: Moira integrates essential concepts from music theory, including harmony, rhythm, and melody, into the music generation process. By adhering to established musical principles, Moira strives to produce compositions that resonate with human listeners.
To use Moira, simply [insert instructions for installation and usage here].
- Advanced Music Theory: Expand Moira's repertoire of music theory concepts to enable more sophisticated compositions, such as modal interchange and chromatic harmony.
- Interactive Learning: Introduce interactive learning features that allow users to engage directly with Moira and provide feedback on generated compositions.
- Performance Optimization: Optimize Moira's algorithms for efficiency and scalability, enabling real-time music generation and performance in diverse computing environments.
Contributions to Moira are welcome! Whether you're a seasoned developer or a music enthusiast with a passion for coding, there are plenty of ways to get involved. Check out our contribution guidelines to learn how you can contribute to the project.
Moira is licensed under the MIT License.
We would like to express our gratitude to [list any individuals or organizations you'd like to acknowledge here] for their invaluable contributions and support to the Moira project.
(written by ChatGPT)