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2020 – today
- 2024
[i13]Florian Schmid, Paul Primus, Toni Heittola, Annamaria Mesaros, Irene Martín-Morató, Khaled Koutini, Gerhard Widmer:
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge. CoRR abs/2405.10018 (2024)- [i12]Paul Primus, Gerhard Widmer:
Fusing Audio and Metadata Embeddings Improves Language-based Audio Retrieval. CoRR abs/2406.15897 (2024) - [i11]Florian Schmid, Paul Primus, Tobias Morocutti, Jonathan Greif, Gerhard Widmer:
Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training. CoRR abs/2408.00791 (2024) - [i10]Paul Primus, Florian Schmid, Gerhard Widmer:
Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval. CoRR abs/2408.11641 (2024) - [i9]Florian Schmid, Tobias Morocutti, Francesco Foscarin, Jan Schlüter, Paul Primus, Gerhard Widmer:
Effective Pre-Training of Audio Transformers for Sound Event Detection. CoRR abs/2409.09546 (2024) - 2023
- [c5]Paul Primus, Gerhard Widmer:
On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers. EUSIPCO 2023: 391-395 - [i8]Paul Primus, Gerhard Widmer:
On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers. CoRR abs/2306.11764 (2023) - [i7]Paul Primus, Khaled Koutini, Gerhard Widmer:
Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets. CoRR abs/2308.04258 (2023) - 2022
- [c4]Paul Primus, Gerhard Widmer:
Improving Natural-Language-Based Audio Retrieval with Transfer Learning and Audio & Text Augmentations. DCASE 2022 - [c3]Paul Primus, Gerhard Widmer:
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers. EUSIPCO 2022: 410-413 - [i6]Paul Primus, Gerhard Widmer:
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers. CoRR abs/2208.11402 (2022) - [i5]Paul Primus, Gerhard Widmer:
Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio & Text Augmentations. CoRR abs/2208.11460 (2022) - 2020
- [c2]Paul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer:
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. DCASE 2020: 170-174 - [i4]Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer:
On Data Augmentation and Adversarial Risk: An Empirical Analysis. CoRR abs/2007.02650 (2020) - [i3]Khaled Koutini, Hamid Eghbal-Zadeh, Verena Haunschmid, Paul Primus, Shreyan Chowdhury, Gerhard Widmer:
Receptive-Field Regularized CNNs for Music Classification and Tagging. CoRR abs/2007.13503 (2020) - [i2]Paul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer:
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. CoRR abs/2011.02949 (2020)
2010 – 2019
- 2019
- [c1]Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer:
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. DCASE 2019: 204-208 - [i1]Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer:
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. CoRR abs/1909.02869 (2019)
Coauthor Index
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