Explore This! Beat and Downbeat Tracking From a Learned Tatum Grid
The model predicts a tatum grid and subgrid to track music beats and downbeats by combining deep learning with theory-based modules. It uses a Transformer architecture to estimate the grid, which is then used to predict local metric distributions (subgrid). This approach explicitly models tempo and time signature options, leading to better downbeat continuity than similar models.