{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T10:37:24Z","timestamp":1730198244320,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/apsipaasc47483.2019.9023040","type":"proceedings-article","created":{"date-parts":[[2020,3,6]],"date-time":"2020-03-06T17:03:54Z","timestamp":1583514234000},"page":"1400-1404","source":"Crossref","is-referenced-by-count":0,"title":["Semi-supervised Training of Acoustic Models Leveraging Knowledge Transferred from Out-of-Domain Data"],"prefix":"10.1109","author":[{"given":"Tien-Hong","family":"Lo","sequence":"first","affiliation":[]},{"given":"Berlin","family":"Chen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2064307"},{"key":"ref32","article-title":"Unsupervised versus supervised training of acoustic models","author":"ma","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref31","article-title":"The Kaldi speech recognition toolkit","author":"povey","year":"0","journal-title":"Proc ASRU 2011"},{"key":"ref30","article-title":"The AMI meeting corpus","author":"mccowan","year":"0","journal-title":"Proc ICMT"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178964"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-595"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2005.1415062"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2010.02.014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947396"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2015.7415532"},{"key":"ref15","first-page":"2171","article-title":"Speaker adaptation for hybrid HMM-ANN continuous speech recognition system","author":"neto","year":"0","journal-title":"Proc EUROSPEECH"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2012.6424251"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2006.11.005"},{"key":"ref18","article-title":"Rapid adaptation for deep neural networks through multi-task learning","author":"huang","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639348"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1983.1164173"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707741"},{"key":"ref27","article-title":"Semi-supervised training of Gaussian mixture models by conditional entropy minimization","author":"huang","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref3","first-page":"17","article-title":"Deep learning of representations for unsupervised and transfer learning","volume":"27","author":"bengio","year":"0","journal-title":"ICML Workshop"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2014.7078564"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2017.8268947"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707775"},{"key":"ref8","article-title":"Deep neural network features and semisupervised training for low resource speech recognition","author":"thomas","year":"0","journal-title":"Proc ICASSP"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707741"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.01.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2014.7078564"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639081"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.04.043"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.04.024"},{"journal-title":"Semi-supervised model training for unbounded conversational speech recognition","year":"2017","author":"walker","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2007.4284658"},{"key":"ref26","article-title":"Semi-supervised learning by entropy minimization","author":"grandvalet","year":"0","journal-title":"Proc NIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462331"}],"event":{"name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","start":{"date-parts":[[2019,11,18]]},"location":"Lanzhou, China","end":{"date-parts":[[2019,11,21]]}},"container-title":["2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8989870\/9023008\/09023040.pdf?arnumber=9023040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:51:17Z","timestamp":1658094677000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9023040\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/apsipaasc47483.2019.9023040","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}