Self-supervised Attention Model for Weakly Labeled Audio Event Classification

no code implementations • 7 Aug 2019 • Bongjun Kim, Shabnam Ghaffarzadegan

The weakly labeled framework is used to eliminate the need for expensive data labeling procedure and self-supervised attention is deployed to help a model distinguish between relevant and irrelevant parts of a weakly labeled audio clip in a more effective manner compared to prior attention models.

Classification General Classification