{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:25:10Z","timestamp":1775229910803,"version":"3.50.1"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"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":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10094605","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T13:28:30Z","timestamp":1683293310000},"page":"1-5","source":"Crossref","is-referenced-by-count":9,"title":["Automatic Severity Classification of Dysarthric Speech by Using Self-Supervised Model with Multi-Task Learning"],"prefix":"10.1109","author":[{"given":"Eun Jung","family":"Yeo","sequence":"first","affiliation":[{"name":"Seoul National University,Department of Linguistics,Republic of Korea"}]},{"given":"Kwanghee","family":"Choi","sequence":"additional","affiliation":[{"name":"Sogang University,Department of Computer Science and Engineering,Republic of Korea"}]},{"given":"Sunhee","family":"Kim","sequence":"additional","affiliation":[{"name":"Seoul National University,Department of French Language Education,Republic of Korea"}]},{"given":"Minhwa","family":"Chung","sequence":"additional","affiliation":[{"name":"Seoul National University,Department of Linguistics,Republic of Korea"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413922"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054492"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2967652"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2903"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3169814"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-60"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3109\/13682828009112541"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1044\/jshr.1202.246"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2022.108934"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare10101956"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-143"},{"key":"ref18","article-title":"wav2vec 2.0: A framework for self-supervised learning of speech representations","author":"baevski","year":"2020","journal-title":"NeurIPS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-10103"},{"key":"ref23","article-title":"Detecting dysfluencies in stuttering therapy using wav2vec 2.0","author":"sebastian","year":"2022","journal-title":"InterSpeech"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874246"},{"key":"ref25","article-title":"Dysarthric speech database for development of qolt software technology","author":"choi","year":"2012","journal-title":"LREC"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-10674"},{"key":"ref22","article-title":"Towards parkinson’s disease prognosis using self-supervised learning and anomaly detection","author":"jiang","year":"2021","journal-title":"ICASSP"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-10043"},{"key":"ref28","author":"mcinnes","year":"2018","journal-title":"Umap Uniform manifold approximation and projection for dimension reduction"},{"key":"ref27","author":"yeo","year":"2022","journal-title":"Cross-lingual dysarthria severity classification for english korean and tamil"},{"key":"ref8","article-title":"Discriminative prosodic features to assess the dysarthria severity levels","author":"kadi","year":"2013","journal-title":"World Congress on Engineering"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-1353"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/app10196999"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2020.06.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.21437\/SLaTE.2019-9"},{"key":"ref6","article-title":"Automatic evaluation of articulatory disorders in parkinson’s disease","author":"novotn?","year":"2014","journal-title":"TASLP"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1121\/1.2934693"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Rhodes Island, Greece","start":{"date-parts":[[2023,6,4]]},"end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10094605.pdf?arnumber=10094605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T14:07:14Z","timestamp":1700489234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10094605\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10094605","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}