{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T04:20:27Z","timestamp":1769919627879,"version":"3.49.0"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1903213"],"award-info":[{"award-number":["U1903213"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tianshan Innovation Team Plan Project of Xinjiang","award":["202101642"],"award-info":[{"award-number":["202101642"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lsp.2022.3187316","type":"journal-article","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T19:34:42Z","timestamp":1656617682000},"page":"1517-1521","source":"Crossref","is-referenced-by-count":27,"title":["Hierarchic Temporal Convolutional Network With Cross-Domain Encoder for Music Source Separation"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7505-1767","authenticated-orcid":false,"given":"Ying","family":"Hu","sequence":"first","affiliation":[{"name":"College of information science and engineering, Xinjiang University, Urumqi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6739-3123","authenticated-orcid":false,"given":"Yadong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of information science and engineering, Xinjiang University, Urumqi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7017-129X","authenticated-orcid":false,"given":"Wenzhong","family":"Yang","sequence":"additional","affiliation":[{"name":"College of information science and engineering, Xinjiang University, Urumqi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4076-7479","authenticated-orcid":false,"given":"Liang","family":"He","sequence":"additional","affiliation":[{"name":"Department of electrical engineering, Tsinghua University, Beijing, China"}]},{"given":"Hao","family":"Huang","sequence":"additional","affiliation":[{"name":"College of information science and engineering, Xinjiang University, Urumqi, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2825440"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3099073"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s13636-018-0134-8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3082331"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISCSLP49672.2021.9362081"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053513"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413896"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.21105\/joss.01667"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.21105\/joss.02154"},{"key":"ref10","article-title":"Music source separation in the waveform domain","author":"Dfossez","year":"2021","journal-title":"arXiv:1911.13254"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IWAENC.2018.8521383"},{"key":"ref12","article-title":"D3Net: Densely connected multidilated DenseNet for music source separation","volume-title":"arXiv:2010.01733","author":"Takahashi","year":"2020"},{"key":"ref13","first-page":"289","article-title":"Music source separation using stacked hourglass networks","volume-title":"Proc. 19th Int. Soc. Music Inf. Retrieval","author":"Park","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA.2017.8169987"},{"key":"ref15","first-page":"334","article-title":"Wave-U-Net: A multi-scale neural network for end-to-end audio source separation","volume-title":"Proc. 19th Int. Soc. Music Inf. Retrieval","author":"Stoller","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2915167"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/528"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462116"},{"key":"ref19","first-page":"7164","article-title":"Voice separation with an unknown number of multiple speakers","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"119","author":"Nachmani","year":"2020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3043977"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2181"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-2246"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428157"},{"key":"ref24","article-title":"Exploring the best loss function for DNN-based low-latency speech enhancement with temporal convolutional networks","volume-title":"arXiv:2005.11611","author":"Koyama","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00054"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414044"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2932062"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00103"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref30","article-title":"MUSDB18-A corpus for music separation","author":"Rafii","year":"2017"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","volume-title":"arXiv:1412.6980","author":"Kingma","year":"2014"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93764-9_28"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/9686799\/09812509.pdf?arnumber=9812509","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T03:49:36Z","timestamp":1706759376000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9812509\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/lsp.2022.3187316","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}