{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:37:49Z","timestamp":1774539469286,"version":"3.50.1"},"reference-count":24,"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\/icassp43922.2022.9747792","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"7172-7176","source":"Crossref","is-referenced-by-count":20,"title":["The Coral++ Algorithm for Unsupervised Domain Adaptation of Speaker Recognition"],"prefix":"10.1109","author":[{"given":"Rongjin","family":"Li","sequence":"first","affiliation":[{"name":"VoiceAI Technologies, Co. Ltd,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weibin","family":"Zhang","sequence":"additional","affiliation":[{"name":"VoiceAI Technologies, Co. Ltd,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongpeng","family":"Chen","sequence":"additional","affiliation":[{"name":"VoiceAI Technologies, Co. Ltd,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Unsupervised domain adaptation for i-vector speaker recognition","volume":"8","author":"garcia-romero","year":"2014","journal-title":"IEEE Odyssey Speaker and Language Recognition Workshop"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682852"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1524"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-1708"},{"key":"ref14","article-title":"A principle solution for enroll-test mismatch in speaker recognition","author":"li","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2020-38"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054624"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1417"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054017"},{"key":"ref19","article-title":"MUSAN: A Music, Speech, and Noise Corpus","author":"snyder","year":"2015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10306"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"999","DOI":"10.21437\/Interspeech.2017-620","article-title":"Deep Neural Network Embeddings for Text-Independent Speaker Verification","author":"snyder","year":"2017","journal-title":"InterSpeech"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461375"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Odyssey.2018-25"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409052"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1109\/TASL.2010.2064307","article-title":"Front-end factor analysis for speaker verification","volume":"19","author":"dehak","year":"2010","journal-title":"IEEE Transactions on Audio Speech and Language Processing"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854363"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"iv","DOI":"10.1109\/ICASSP.2002.1004813","article-title":"An overview of automatic speaker recognition technology","volume":"4","author":"reynolds","year":"2002","journal-title":"2002 IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref9","first-page":"531","article-title":"Probabilistic linear discriminant analysis","author":"ioffe","year":"2006","journal-title":"European Conference on Computer Vision"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953152"},{"key":"ref22","article-title":"The kaldi speech recognition toolkit","author":"povey","year":"2011","journal-title":"IEEE 2011 Workshop on Automatic Speech Recognition and Understanding IEEE Signal Processing Society"},{"key":"ref21","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682749"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2822810"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"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\/09747792.pdf?arnumber=9747792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T20:09:04Z","timestamp":1660594144000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747792","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}