Showing cs.SDShow all
3 papers · 1 filter
cs.SD2025
On Temporal Guidance and Iterative Refinement in Audio Source Separation
Tobias Morocutti, Jonathan Greif, Paul Primus +2
Spatial semantic segmentation of sound scenes (S5) involves the accurate identification of active sound classes and the precise separation of their sources from complex acoustic mi…
cs.SD2022
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers
Paul Primus, Gerhard Widmer
Standard machine learning models for tagging and classifying acoustic signals cannot handle classes that were not seen during training. Zero-Shot (ZS) learning overcomes this restr…
cs.SD2022
Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio & Text Augmentations
Paul Primus, Gerhard Widmer
The absence of large labeled datasets remains a significant challenge in many application areas of deep learning. Researchers and practitioners typically resort to transfer learnin…