{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T02:59:39Z","timestamp":1730343579431,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,24]]},"DOI":"10.23919\/eusipco47968.2020.9287464","type":"proceedings-article","created":{"date-parts":[[2020,12,18]],"date-time":"2020-12-18T21:54:18Z","timestamp":1608328458000},"page":"870-874","source":"Crossref","is-referenced-by-count":4,"title":["Semi-supervised Multichannel Speech Separation Based on a Phone- and Speaker-Aware Deep Generative Model of Speech Spectrograms"],"prefix":"10.23919","author":[{"given":"Yicheng","family":"Du","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kouhei","family":"Sekiguchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshiaki","family":"Bando","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aditya","family":"Arie Nugraha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathieu","family":"Fontaine","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuyoshi","family":"Yoshii","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatsuya","family":"Kawahara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461530"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2018.8516711"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2944348"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683704"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01217"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2954120"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682623"},{"key":"ref17","first-page":"3581","article-title":"Semi-supervised learning with deep generative models","author":"kingma","year":"2014","journal-title":"Proc NIPS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-015-0246-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471654"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPA.2010.5605570"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2005.858005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2009.2031510"},{"key":"ref6","first-page":"1830","article-title":"Under-determined reverberant audio source separation using a full-rank spatial covariance model","volume":"18","author":"duong","year":"2010","journal-title":"IEEE TASLP"},{"key":"ref5","first-page":"971","article-title":"Multichannel extensions of non-negative matrix factorization with complex-valued data","volume":"21","author":"sawada","year":"2013","journal-title":"IEEE TASLP"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ASPAA.2011.6082320"},{"key":"ref7","first-page":"1626","article-title":"Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization","volume":"24","author":"kitamura","year":"2016","journal-title":"IEEE\/ACM TASLP"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by non-negative matrix factorization","volume":"401","author":"lee","year":"1999","journal-title":"Nature"},{"key":"ref9","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2014","journal-title":"Proc ICLR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2015.7404837"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053845"},{"article-title":"CSR-I (WSJ0) complete","year":"2007","author":"garofolo","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0121423"},{"key":"ref24","first-page":"933","article-title":"Language modeling with gated convolutional networks","author":"dauphin","year":"2017","journal-title":"Proc ICML"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461310"},{"key":"ref26","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","author":"pascanu","year":"2013","journal-title":"Proc ICML"},{"key":"ref25","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2019","journal-title":"Proc ICLR"}],"event":{"name":"2020 28th European Signal Processing Conference (EUSIPCO)","start":{"date-parts":[[2021,1,18]]},"location":"Amsterdam, Netherlands","end":{"date-parts":[[2021,1,21]]}},"container-title":["2020 28th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9287308\/9287310\/09287464.pdf?arnumber=9287464","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T03:15:37Z","timestamp":1614050137000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9287464\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,24]]},"references-count":27,"URL":"https:\/\/doi.org\/10.23919\/eusipco47968.2020.9287464","relation":{},"subject":[],"published":{"date-parts":[[2021,1,24]]}}}