1 code implementation • 27 Mar 2024 • Jacob Mørk, Holger Severin Bovbjerg, Gergely Kiss, Zheng-Hua Tan
Modern KWS systems are mainly trained using supervised learning methods and require a large amount of labelled data to achieve a good performance.
no code implementations • 27 Dec 2023 • Holger Severin Bovbjerg, Jesper Jensen, Jan Østergaard, Zheng-Hua Tan
Our experiments show that self-supervised pretraining not only improves performance in clean conditions, but also yields models which are more robust to adverse conditions compared to purely supervised learning.
2 code implementations • 4 Oct 2022 • Holger Severin Bovbjerg, Zheng-Hua Tan
This paper explores the effectiveness of SSL on small models for KWS and establishes that SSL can enhance the performance of small KWS models when labelled data is scarce.
1 code implementation • 10 Feb 2022 • Christoph Obermair, Thomas Cartier-Michaud, Andrea Apollonio, William Millar, Lukas Felsberger, Lorenz Fischl, Holger Severin Bovbjerg, Daniel Wollmann, Walter Wuensch, Nuria Catalan-Lasheras, Marçà Boronat, Franz Pernkopf, Graeme Burt
The occurrence of vacuum arcs or radio frequency (rf) breakdowns is one of the most prevalent factors limiting the high-gradient performance of normal conducting rf cavities in particle accelerators.
BIG-bench Machine Learning Explainable artificial intelligence +1