Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. - Paul Primus; Hamid Eghbal-zadeh; David Eitelsebner; Khaled Koutini; Andreas Arzt; Gerhard Widmer (DCASE, 2019)

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. - Paul Primus; Verena Haunschmid; Patrick Praher; Gerhard Widmer (DCASE, 2020)

On Data Augmentation and Adversarial Risk: An Empirical Analysis. - Hamid Eghbal-zadeh; Khaled Koutini; Paul Primus; Verena Haunschmid; Michal Lewandowski; Werner Zellinger; Bernhard Alois Moser; Gerhard Widmer (CoRR, 2020)

Receptive-Field Regularized CNNs for Music Classification and Tagging. - Khaled Koutini; Hamid Eghbal-Zadeh; Verena Haunschmid; Paul Primus; Shreyan Chowdhury; Gerhard Widmer (CoRR, 2020)

Improving Natural-Language-Based Audio Retrieval with Transfer Learning and Audio & Text Augmentations. - Paul Primus; Gerhard Widmer (DCASE, 2022)

Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers. - Paul Primus; Gerhard Widmer (EUSIPCO, 2022)

On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers. - Paul Primus; Gerhard Widmer (EUSIPCO, 2023)

Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets. - Paul Primus; Khaled Koutini; Gerhard Widmer (CoRR, 2023)

Fusing Audio and Metadata Embeddings Improves Language-Based Audio Retrieval. - Paul Primus; Gerhard Widmer (EUSIPCO, 2024)

Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge. - Florian Schmid; Paul Primus; Toni Heittola; Annamaria Mesaros; Irene Martín-Morató; Khaled Koutini; Gerhard Widmer (CoRR, 2024)

Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training. - Florian Schmid; Paul Primus; Tobias Morocutti; Jonathan Greif; Gerhard Widmer (CoRR, 2024)

Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval. - Paul Primus; Florian Schmid; Gerhard Widmer (CoRR, 2024)

Effective Pre-Training of Audio Transformers for Sound Event Detection. - Florian Schmid; Tobias Morocutti; Francesco Foscarin; Jan Schlüter; Paul Primus; Gerhard Widmer (ICASSP, 2025)

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge. - Florian Schmid; Paul Primus; Toni Heittola; Annamaria Mesaros; Irene Martín-Morató; Gerhard Widmer (CoRR, 2025)

TACOS: Temporally-aligned Audio CaptiOnS for Language-Audio Pretraining. - Paul Primus; Florian Schmid; Gerhard Widmer (CoRR, 2025)

On Temporal Guidance and Iterative Refinement in Audio Source Separation. - Tobias Morocutti; Jonathan Greif; Paul Primus; Florian Schmid; Gerhard Widmer (CoRR, 2025)