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eess.AS2026
Evaluating the Temporal Detection Capability of Integrated Gradients Applied on Sound Classifier
Martynas Dumpis, Tuomas Virtanen
Gradient-based attribution methods can highlight input regions important for neural network predictions, but their effectiveness for temporal sound event detection in audio classif…
eess.AS2024
A decade of DCASE: Achievements, practices, evaluations and future challenges
Annamaria Mesaros, Romain Serizel, Toni Heittola +2
This paper introduces briefly the history and growth of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge, workshop, research area and research commu…
eess.AS2024
Noise-to-mask Ratio Loss for Deep Neural Network based Audio Watermarking
Martin Moritz, Toni Olán, Tuomas Virtanen
Digital audio watermarking consists in inserting a message into audio signals in a transparent way and can be used to allow automatic recognition of audio material and management o…