A learning approach to hierarchical feature selection and aggregation for audio classification
Pattern Recognition Letters (2010)
- ISSN: 01678655
- DOI: 10.1016/j.patrec.2009.12.036
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Abstract
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.
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