Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs

no code implementations • 20 Jan 2024 • Paul M. Baggenstoss, Kevin Wilkinghoff, Felix Govaers, Frank Kurth

The PBN is two networks in one, a FFNN that operates in the forward direction, and a generative network that operates in the backward direction.

Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?

no code implementations • 27 Sep 2023 • Kevin Wilkinghoff, Frank Kurth

Furthermore, multiple experiments are conducted to show that using a related classification task as an auxiliary task teaches the model to learn representations suitable for detecting anomalous sounds in noisy conditions.