Karol J. Piczak

发表

Recognizing Bird Species in Audio Recordings using Deep Convolutional Neural Networks

Karol J. Piczak, 2016, CLEF.

Environmental sound classification with convolutional neural networks

Karol J. Piczak, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

ESC: Dataset for Environmental Sound Classification

Karol J. Piczak, 2015, ACM Multimedia.

Siamese Generative Adversarial Privatizer for Biometric Data pdf

Tomasz Trzcinski, Ram Rajagopal, Peter Kairouz, 2018, ACCV.

Continual Learning of 3D Point Cloud Generators

Karol J. Piczak, Tomasz Trzciński, Przemysław Spurek, 2021, ICONIP.

The Details That Matter: Frequency Resolution of Spectrograms in Acoustic Scene Classification

Karol J. Piczak, 2017, DCASE.

Generalisation Gap of Keyword Spotters in a Cross-Speaker Low-Resource Scenario

Karol J. Piczak, K. Radzikowski, Łukasz Lepak, 2021, Sensors.

Continual Learning with Guarantees via Weight Interval Constraints

Karol J. Piczak, J. Tabor, P. Spurek, 2022, ICML.

Hypernetworks build Implicit Neural Representations of Sounds

Karol J. Piczak, J. Tabor, T. Trzci'nski, 2023, arXiv.org.

Hypernetworks build Implicit Neural Representations of Sounds

Karol J. Piczak, J. Tabor, T. Trzci'nski, 2023, ECML/PKDD.

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks

Karol J. Piczak, J. Tabor, P. Spurek, 2022, ArXiv.