HIGHLIGHTS
- who: PETROS GIANNAKOPOULOS and colleagues from the (UNIVERSITY) have published the Article: Improving Post-processing of Audio Event Detectors using Reinforcement Learning, in the Journal: (JOURNAL)
- what: To achieve this the authors define a reinforcement learning environment where: 1) a state is the class probability distribution provided by the model for a given audio sample 2) an action is the choice of a candidate optimal value for each parameter of the post-processing stack 3) the reward is based on the classification accuracy metric the authors aim to optimize which is the audio event-based . . .
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