{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:39:57Z","timestamp":1730230797673,"version":"3.28.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9747718","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"501-505","source":"Crossref","is-referenced-by-count":1,"title":["Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation"],"prefix":"10.1109","author":[{"given":"Aditya Arie","family":"Nugraha","sequence":"first","affiliation":[{"name":"Center for Advanced Intelligence Project (AIP),Riken,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kouhei","family":"Sekiguchi","sequence":"additional","affiliation":[{"name":"Center for Advanced Intelligence Project (AIP),Riken,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathieu","family":"Fontaine","sequence":"additional","affiliation":[{"name":"Institut Polytechnique de Paris,LTCI, T&#x00E9;l&#x00E9;com Paris,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshiaki","family":"Bando","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST),Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuyoshi","family":"Yoshii","sequence":"additional","affiliation":[{"name":"Kyoto University,Graduate School of Informatics,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-3202"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2114881"},{"journal-title":"ITU-T Recommendation P 862","article-title":"Wideband extension to recommendation P.862 for the assessment of wideband telephone networks and speech codecs","year":"2007","key":"ref32"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"1928","DOI":"10.1016\/j.sigpro.2011.10.007","article-title":"The signal separation evaluation campaign (2007&#x2013;2010): Achievements and remaining challenges","volume":"92","author":"vincent","year":"2012","journal-title":"Signal Process"},{"key":"ref30","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.2979603"},{"key":"ref36","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","author":"pascanu","year":"2013","journal-title":"Proc ICML"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1121\/1.4799597"},{"key":"ref34","article-title":"CSR-I (WSJ0) Complete LDC93S6A","author":"garofolo","year":"2007","journal-title":"The DVD"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3101699"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1977.1162950"},{"key":"ref12","first-page":"165","article-title":"Independent vector analysis: An extension of ICA to multivariate components","author":"kim","year":"2006","journal-title":"Proc ICA"},{"key":"ref13","first-page":"601","article-title":"Solution of permutation problem in frequency domain ICA, using multivariate probability density functions","author":"hiroe","year":"2006","journal-title":"Proc ICA"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.4310\/CMS.2010.v8.n1.a11"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA.2019.8937080"},{"key":"ref17","first-page":"1830","article-title":"Underdetermined reverberant audio source separation using a full-rank spatial covariance model","volume":"18","author":"duong","year":"2010","journal-title":"IEEE ASLP"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2009.4960289"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2008.04-08-771"},{"article-title":"Layer normalization","year":"2016","author":"ba","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2016.11.007"},{"key":"ref27","first-page":"1","article-title":"Auxiliary-function-based independent vector analysis with power of vector-norm type weighting functions","author":"ono","year":"2012","journal-title":"Proc APSIPA"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2580946"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2944348"},{"key":"ref29","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc AISTATS"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2672401"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3039944"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2549"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-73031-8","author":"makino","year":"2018","journal-title":"Audio Source Separation"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/9781119279860"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054171"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682291"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992934"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3019181"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1137\/0708036"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(00)00345-3"},{"key":"ref26","first-page":"1","article-title":"Sylvester normalizing flows for variational inference","author":"van den berg","year":"2018","journal-title":"Proc Conf Uncertainty Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/72.761722"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2022,5,23]]},"location":"Singapore, Singapore","end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09747718.pdf?arnumber=9747718","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T20:11:37Z","timestamp":1661199097000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747718\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747718","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}