A learning approach to hierarchical feature selection and aggregation for audio classification
Audio classification typically involves feeding a fixed set of low-level features to a machine learning method, then performing feature aggregation before or after learning. Instead, we jointly learn a selection and hierarchical temporal aggregation of features, achieving significant performance gains.
feature selection audio classification feature aggregation temporal modeling