7 citations · 15 across the 19 of their papers we have counts for
4 papers · 1 filter
On Temporal Binding in Large Audio Language Models
Paul Primus, Gerhard Widmer
Reasoning about temporal structure of audio recordings requires Large Audio Language Models (LALMs) to associate sound events with their temporal position. Understanding the underl…
Low-Latency Neural Models for Real-Time Music Enhancement
Emmanouil Karystinaios, Jonathan Greif, David Nadrchal +2
Music recordings and live streams are often affected by noise, reverberation, spectral imbalances, or artifacts that degrade listening quality. While speech enhancement has matured…
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…
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…