Published June 15, 2023
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ENHANCING CONFIDENCE AND SPECIFICITY IN SOUND EVENT DETECTION: EXPLORING THE IMPACT OF NON-TARGET TRAINING CLASSES pre_trained models, annotations and additional results.
Authors/Creators
- 1. Politecnico di Milano; Universite de Lorraine, CNRS, Inria, Loria
Description
This repo contains the pre-trained models, annotations, and additional results related to the paper “ENHANCING CONFIDENCE AND SPECIFICITY IN SOUND EVENT DETECTION: EXPLORING THE IMPACT OF NON-TARGET TRAINING CLASSES.”
In all the files:
- BR stands for blind_rejection;
- ALL stands for ALL-in;
- AS stand for AudioSet;
- proc stands for post-processed labels;
- soft stands for Softmax activation function, otherwise Sigmoid has been used.