dc.contributor.author | Liu, Zhaoyi | |
dc.contributor.author | Tang, Haoyu | |
dc.contributor.author | Michiels, Sam | |
dc.contributor.author | Joosen, Wouter | |
dc.contributor.author | Hughes, Danny | |
dc.date.accessioned | 2023-05-31T09:47:29Z | |
dc.date.available | 2023-02-23T03:25:34Z | |
dc.date.available | 2023-05-31T09:47:29Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2076-1465 | |
dc.identifier.other | WOS:000918827600053 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/41128.2 | |
dc.source | WOS | |
dc.title | Unsupervised Acoustic Anomaly Detection Systems Based on Gaussian Mixture Density Neural Network | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Joosen, Wouter | |
dc.identifier.eisbn | 978-90-827970-9-1 | |
dc.source.numberofpages | 5 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 259 | |
dc.source.endpage | 263 | |
dc.source.conference | 30th European Signal Processing Conference (EUSIPCO) | |
dc.source.conferencedate | AUG 29-SEP 02, 2022 | |
dc.source.conferencelocation | Belgrade | |
dc.source.journal | na | |
imec.availability | Published - imec | |
dc.description.wosFundingText | This research is partially funded by the Research Fund KU Leuven, and by imec and Flanders Innovation Entrepreneurship (VLAIO) in the context of the WiPeR project. | |