Paul Primus

According to our database1, Paul Primus authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Effective Pre-Training of Audio Transformers for Sound Event Detection.
CoRR, 2024

Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval.
CoRR, 2024

Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training.
CoRR, 2024

Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge.
CoRR, 2024

Fusing Audio and Metadata Embeddings Improves Language-Based Audio Retrieval.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets.
CoRR, 2023

On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers.
Proceedings of the 30th European Signal Processing Conference, 2022

Improving Natural-Language-Based Audio Retrieval with Transfer Learning and Audio & Text Augmentations.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2020
Receptive-Field Regularized CNNs for Music Classification and Tagging.
CoRR, 2020

On Data Augmentation and Adversarial Risk: An Empirical Analysis.
CoRR, 2020

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019


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