- What did you personally accomplish this week on the project? Give files or
photos that demonstrate your progress. Prove to the reader that you put sufficient effort into the project over the course of the week (12+ hours).
I met my goal for the interim demo which was to have an end-to-end pipeline working for music generation. Training the model took a long time, and I was listening to output samples to see what the model did well and what it didn’t.
- Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
Progress is on schedule, now that I have a working pipeline, I need to train three different models for the three different genres.
- What deliverables do you hope to complete in the next week?
I plan to discuss possibly fine-tuning a pre trained model with Professor Sullivan, and based on that finding techniques to have the model perform better than it currently is.
- Now that you are entering into the verification and validation phase of your project, provide a comprehensive update on what tests you have you run or are planning to run. In particular, how will you analyze the anticipated measured results to verify your contribution to the project meets the engineering design requirements or the use case requirements?
This is something I have recently been doing research on, initially, the plan was to use metrics such as tonal distance between the generated MIDI and input MIDI, and the percentage of empty bars generated. But I recently came across a research paper that explored other metrics. I will discuss with Professor Sullivan before finalizing