{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T18:03:37Z","timestamp":1776881017409,"version":"3.51.2"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)","doi-asserted-by":"publisher","award":["352015383,SFB 1330\/B3"],"award-info":[{"award-number":["352015383,SFB 1330\/B3"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,23]]},"DOI":"10.23919\/eusipco54536.2021.9616114","type":"proceedings-article","created":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T21:55:53Z","timestamp":1639000553000},"page":"481-485","source":"Crossref","is-referenced-by-count":10,"title":["Towards speech enhancement using a variational U-Net architecture"],"prefix":"10.23919","author":[{"given":"Eike J.","family":"Nustede","sequence":"first","affiliation":[]},{"given":"Jorn","family":"Anemuller","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"1","author":"bosca","year":"2020","journal-title":"Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2915167"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-Net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Lect Notes Comput Sci"},{"key":"ref13","article-title":"Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets","author":"narayanaswamy","year":"2019","journal-title":"ArXiv"},{"key":"ref14","first-page":"334","article-title":"Wave-U-Net: A multi-scale neural network for end-to-end audio source separation","author":"stoller","year":"2018","journal-title":"ISMIR Proc 19th Int Soc Music Inf Retr Conf"},{"key":"ref15","article-title":"Singing Voice Separation with Deep U-Net CNN","author":"jansson","year":"2017","journal-title":"ISMIR Proc 19th Int Soc Music Inf Retr Conf"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00923"},{"key":"ref17","first-page":"6965","article-title":"A probabilistic U-Net for segmentation of ambiguous images","author":"kohl","year":"2018","journal-title":"NeurIPS Adv NeuralInf Process Syst"},{"key":"ref18","author":"kohl","year":"2019","journal-title":"A hierarchical probabilistic u-net for modeling multi-scale ambiguities"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-88"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2364452"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2352935"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2013-130"},{"key":"ref8","first-page":"1","author":"yu","year":"2020","journal-title":"Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2015.7415295"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2007.899278"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054254"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2304637"},{"key":"ref20","first-page":"1","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2014","journal-title":"2nd Int Conf Learn Represent ICLR 2014-Conf Track Proc"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683855"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-3087"}],"event":{"name":"2021 29th European Signal Processing Conference (EUSIPCO)","location":"Dublin, Ireland","start":{"date-parts":[[2021,8,23]]},"end":{"date-parts":[[2021,8,27]]}},"container-title":["2021 29th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9615915\/9615917\/09616114.pdf?arnumber=9616114","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T20:57:54Z","timestamp":1647896274000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9616114\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,23]]},"references-count":22,"URL":"https:\/\/doi.org\/10.23919\/eusipco54536.2021.9616114","relation":{},"subject":[],"published":{"date-parts":[[2021,8,23]]}}}