{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T07:14:16Z","timestamp":1790234056711,"version":"4.1.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"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":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8683710","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T16:01:56Z","timestamp":1555516916000},"page":"750-754","source":"Crossref","is-referenced-by-count":12,"title":["Semi-supervised Acoustic Event Detection Based on Tri-training"],"prefix":"10.1109","author":[{"given":"Bowen","family":"Shi","sequence":"first","affiliation":[{"name":"Toyota Technological Institute at Chicago"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Sun","sequence":"additional","affiliation":[{"name":"Amazon"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chieh-Chi","family":"Kao","sequence":"additional","affiliation":[{"name":"Amazon"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viktor","family":"Rozgic","sequence":"additional","affiliation":[{"name":"Amazon"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Spyros","family":"Matsoukas","sequence":"additional","affiliation":[{"name":"Amazon"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[{"name":"Amazon"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966291"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-2323"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682395"},{"key":"ref13","article-title":"Semi-supervised learning with deep generative models","author":"kingma","year":"2014","journal-title":"NIPS"},{"key":"ref14","article-title":"Improved techniques for training gans","author":"salimans","year":"2016","journal-title":"NIPS"},{"key":"ref15","article-title":"Unsupervised and semi-supervised learning with categorical generative adversarial networks","author":"springenberg","year":"2015","journal-title":"ICLRE"},{"key":"ref16","article-title":"Virtual adversarial training: a regulariza- tion method for supervised and semi-supervised learning","author":"takeru","year":"2017"},{"key":"ref17","article-title":"Realistic evaluation of semi-supervised learning algorithms","author":"oliver","year":"2018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00433"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081532"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1101149.1101181"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952261"},{"key":"ref5","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref8","article-title":"Deep convolutional neural networks and data augmentation for acoustic event detection","author":"takahashi","year":"2016","journal-title":"CoRR"},{"key":"ref7","article-title":"Facebook acoustic events dataset","author":"fan","year":"2018","journal-title":"ICASSP"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2007.4425280"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952132"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2006.886263"},{"key":"ref20","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"2017","journal-title":"NIPS"},{"key":"ref22","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015","journal-title":"CoRR"},{"key":"ref21","first-page":"15291541","article-title":"Tri-training: Exploiting unlabled data using three classifiers","volume":"17","author":"zhou","year":"0","journal-title":"IEEE Trans Data Eng"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2690575"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966291"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Brighton, UK","start":{"date-parts":[[2019,5,12]]},"end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08683710.pdf?arnumber=8683710","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:37:47Z","timestamp":1755909467000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8683710\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8683710","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}