Yes, the proposed functional representation can indeed be extended to other music generation tasks, including unconditional music composition and multi-instrument arrangement. The functional representation's key feature is its ability to encode musical elements in a way that is independent of specific pitches, focusing instead on the relationships between notes, chords, and scales. This flexibility makes it suitable for various musical contexts.
In unconditional music composition, the functional representation can facilitate the generation of melodies and harmonies that adhere to established musical rules and structures, allowing for the creation of coherent and emotionally resonant pieces without predefined emotional conditions. By leveraging the same principles of key awareness and functional harmony, composers can explore a wider range of musical ideas and styles.
For multi-instrument arrangements, the functional representation can be adapted to include additional layers of information, such as instrument timbres and roles within the arrangement. By representing each instrument's part in relation to the overall harmonic structure, the model can generate complex arrangements that maintain harmonic coherence while allowing for rich textural variations. This approach could also incorporate real-time adjustments based on performance dynamics, further enhancing the expressiveness of the generated music.
Overall, the functional representation's adaptability and focus on musical relationships position it as a valuable tool for a variety of music generation tasks, paving the way for innovative explorations in both composition and arrangement.