{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:51:59Z","timestamp":1776181919287,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"European Union under the EU Horizon 2020 Research and Innovation Action MuMMER","award":["688147"],"award-info":[{"award-number":["688147"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/taslp.2021.3060257","type":"journal-article","created":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T21:36:35Z","timestamp":1613684195000},"page":"1303-1317","source":"Crossref","is-referenced-by-count":43,"title":["Neural Network Adaptation and Data Augmentation for Multi-Speaker Direction-of-Arrival Estimation"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3874-3083","authenticated-orcid":false,"given":"Weipeng","family":"He","sequence":"first","affiliation":[]},{"given":"Petr","family":"Motlicek","sequence":"additional","affiliation":[]},{"given":"Jean-Marc","family":"Odobez","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.20965\/jrm.2017.p0037"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683732"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461723"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952550"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794231"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2016.7846325"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2750760"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1121\/1.415854"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682655"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ASPAA.2001.969552"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1121\/1.412407"},{"key":"ref29","first-page":"5635","article-title":"Micbots: Collecting large realistic datasets for speech and audio research using mobile robots","author":"roux","year":"0","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.1986.1143830"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1976.1162830"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/0003-682X(85)90024-6"},{"key":"ref22","article-title":"Room impulse response generator","author":"habets","year":"2006"},{"key":"ref21","article-title":"A matlab simulation of “shoebox” room acoustics for use in research and teaching","volume":"9","author":"campbell","year":"2005","journal-title":"Comput Inf Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1121\/1.4740497"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2003.1248800"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-30441-0_5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3126830"},{"key":"ref50","article-title":"DCASE 2020 task 3: Ensemble of sequence matching networks for dynamic sound event localization, detection, and tracking","author":"nguyen","year":"0"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref55","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952261"},{"key":"ref52","article-title":"The AMI meeting corpus","author":"mccowan","year":"0","journal-title":"Proc 5th Int Conf Methods Tech Behav Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3019646"},{"key":"ref11","article-title":"Classification of spatial audio location and content using convolutional neural networks","volume":"138","author":"hirvonen","year":"2015","journal-title":"Proc Audio Eng Soc Conv"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2019.2901664"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1269"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2885636"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SAM.2018.8448644"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2157689.2157834"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065714400036"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IWAENC.2018.8521403"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1111"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1121\/1.382599"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2042128"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1997.599651"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6696771"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2405475"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471706"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178484"},{"key":"ref49","article-title":"The USTC-IFLYTEK system for sound event localization and detection of DCASE2020 challenge","author":"wang","year":"0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461267"},{"key":"ref46","article-title":"Pseudo-label : The simple and efficient semi-supervised learning method for deep neural networks","author":"lee","year":"0","journal-title":"Proc Workshop Challenges Representation Learn"},{"key":"ref45","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.003.0009"},{"key":"ref47","article-title":"Pseudo-labeling curriculum for unsupervised domain adaptation","author":"choi","year":"2019","journal-title":"30th Brit Mach Vision Conf"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553182"},{"key":"ref41","first-page":"2015, pp.\ufffd3302?3306","article-title":"Exploiting deep neural networks and head movements for binaural localisation of multiple speakers in reverberant conditions","author":"ma","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref44","article-title":"Return of frustratingly easy domain adaptation","author":"sun","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref43","first-page":"601","article-title":"Correcting sample selection bias by unlabeled data","author":"huang","year":"2006","journal-title":"Adv Neural Inf Process Syst"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/9289074\/09357962.pdf?arnumber=9357962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:00Z","timestamp":1652194440000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9357962\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/taslp.2021.3060257","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}