{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T04:29:55Z","timestamp":1782966595666,"version":"3.54.5"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3445304","type":"journal-article","created":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T17:30:58Z","timestamp":1723829458000},"page":"2205-2209","source":"Crossref","is-referenced-by-count":11,"title":["Dynamic Slimmable Network for Speech Separation"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2737-0602","authenticated-orcid":false,"given":"Mohamed","family":"Elminshawi","sequence":"first","affiliation":[{"name":"International Audio Laboratories Erlangen, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU) and Fraunhofer IIS, Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2186-5420","authenticated-orcid":false,"given":"Srikanth Raj","family":"Chetupalli","sequence":"additional","affiliation":[{"name":"International Audio Laboratories Erlangen, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU) and Fraunhofer IIS, Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2613-8046","authenticated-orcid":false,"given":"Emanu\u00ebl A. P.","family":"Habets","sequence":"additional","affiliation":[{"name":"International Audio Laboratories Erlangen, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU) and Fraunhofer IIS, Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054266"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-2205"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3099291"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413901"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3304482"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-021-01683-x"},{"key":"ref7","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"Bengio","year":"2013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3117837"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-022-01311-z"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00919"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3056031"},{"key":"ref12","first-page":"527","article-title":"Adaptive neural networks for efficient inference","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bolukbasi","year":"2017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_25"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3190738"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1991.3.1.79"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-478"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00850"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3194044"},{"issue":"1","key":"ref19","first-page":"5232","article-title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity","volume":"23","author":"Fedus","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref20","first-page":"1","article-title":"Slimmable neural networks","volume-title":"Proc. IEEE Int. Conf. on Learn. Representations","author":"Yu","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00189"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413933"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096897"},{"key":"ref24","article-title":"Handling trade-offs in speech separation with sparsely-gated mixture of experts","author":"Wang","year":"2023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA58266.2023.10248143"},{"key":"ref26","first-page":"1","article-title":"Outrageously large neural networks: The sparsely-gated mixture-of-experts layer","volume-title":"Proc. IEEE Int. Conf. Learn. Representations","author":"Shazeer","year":"2017"},{"key":"ref27","article-title":"A review of sparse expert models in deep learning","author":"Fedus","year":"2022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/icassp.2019.8683855"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2726762"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471631"},{"key":"ref31","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. IEEE Int. Conf. Learn. Representations","author":"Kingma","year":"2015"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10380231\/10638203.pdf?arnumber=10638203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T08:56:17Z","timestamp":1725440177000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10638203\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3445304","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}