I spent the beginning part of this week prepping for our design review presentation (which I think went pretty well). Concurrently, I was also improving our existing sound identification methodology to improve its accuracy, but during this process, I realized that our existing implementation wouldn’t scale beyond the 3 base sounds that I was currently identifying. The reason is that the 3 foundational drum sounds (kick, snare, and cymbals) can be identified solely using the frequency, but as we start incorporating other sounds such as tom-toms, rim shots, etc require more information than just frequency. Before I started fixing this issue by incorporating more parameters into my existing identification methodology, I thought that an ML model might already exist that handles this task for us. Because of Abi’s experience with ML, I tasked him with trying to get an ML model for identification working.
With the identification off my plate, I started working more on the game development side. Here, I’ve created a basic structure for the game, but there are still several improvements that need to be made. Currently, I feel as though I’m a little bit behind on the game design aspect, but because Abi seems to have started working with an ML model, I think he can help me get caught up this week, so overall with respect to the software, I think we’re in a good place.