{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T17:44:39Z","timestamp":1785606279373,"version":"3.56.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"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":[[2023,9,4]]},"DOI":"10.23919\/eusipco58844.2023.10289721","type":"proceedings-article","created":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T17:55:44Z","timestamp":1698861344000},"page":"191-195","source":"Crossref","is-referenced-by-count":38,"title":["First-Shot Anomaly Sound Detection for Machine Condition Monitoring: A Domain Generalization Baseline"],"prefix":"10.23919","author":[{"given":"Noboru","family":"Harada","sequence":"first","affiliation":[{"name":"NTT Corporation,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daisuke","family":"Niizumi","sequence":"additional","affiliation":[{"name":"NTT Corporation,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasunori","family":"Ohishi","sequence":"additional","affiliation":[{"name":"NTT Corporation,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daiki","family":"Takeuchi","sequence":"additional","affiliation":[{"name":"NTT Corporation,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahiro","family":"Yasuda","sequence":"additional","affiliation":[{"name":"NTT Corporation,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","author":"dohi","year":"2022","journal-title":"dcase2022_task2_baseline_ae"},{"key":"ref12","first-page":"1","article-title":"ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions","author":"harada","year":"2021","journal-title":"Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)"},{"key":"ref15","author":"dohi","year":"2022","journal-title":"dcase2022_task2_baseline_mobile_net_v2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref11","first-page":"1","article-title":"MIMII DG: Sound dataset for mal-functioning industrial machine investigation and inspection for domain generalization task","author":"dohi","year":"2022","journal-title":"Proceedings of the 7th Detection and Classifi-cation of Acoustic Scenes and Events 2022 Workshop(DCASE2022)"},{"key":"ref10","year":"2023","journal-title":"Dcase 2023 challenge task 2 First-shot unsupervised anomalous sound detection for machine condition monitoring"},{"key":"ref2","first-page":"186","article-title":"Description and discussion on dcase 2021 challenge task 2: Unsupervised anomalous detection for machine condition monitoring under domain shifted conditions","author":"kawaguchi","year":"2021","journal-title":"Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)"},{"key":"ref1","first-page":"81","article-title":"Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring","author":"koizumi","year":"0","journal-title":"Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop(DCASE2020)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054344"},{"key":"ref16","first-page":"49","article-title":"On the generalised distance in statistics","author":"mahalanobis","year":"0","journal-title":"Proceedings of the National Institute of Science of India"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2877258"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA.2019.8937183"},{"key":"ref8","article-title":"Dis-entangled surrogate task learning for improved domain generalization in unsupervised anomalous sound detection","author":"venkatesh","year":"2022","journal-title":"Tech Rep DCASE2016 Challenge"},{"key":"ref7","article-title":"Aithu system for unsupervised anomalous detection of machine working status via sounding","author":"deng","year":"2022","journal-title":"Tech Rep DCASE2016 Challenge"},{"key":"ref9","author":"harada","year":"2023","journal-title":"dcase2023_task2_baseline_ae"},{"key":"ref4","article-title":"Robust anomaly sound detection framework for machine condition monitoring","author":"zeng","year":"2022","journal-title":"Tech Rep DCASE2016 Challenge"},{"key":"ref3","article-title":"Description and discussion on dcase 2022 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring applying domain generalization techniques","author":"dohi","year":"2022","journal-title":"Proceedings of the 7th Detection and Classification of Acoustic Scenes and Events 2022 Workshop(DCASE2022) Nancy France"},{"key":"ref6","article-title":"The dcase2022 challenge task 2 system: Anomalous sound detection with self-supervised attribute classification and gmm-based clustering","author":"xiao","year":"2022","journal-title":"Tech Rep DCASE2016 Challenge"},{"key":"ref5","article-title":"Two-stage anoma-lous sound detection systems using domain generalization and special-ization techniques","author":"kuroyanagi","year":"2022","journal-title":"Tech Rep DCASE2016 Challenge"}],"event":{"name":"2023 31st European Signal Processing Conference (EUSIPCO)","location":"Helsinki, Finland","start":{"date-parts":[[2023,9,4]]},"end":{"date-parts":[[2023,9,8]]}},"container-title":["2023 31st European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10289698\/10289713\/10289721.pdf?arnumber=10289721","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:20:41Z","timestamp":1701112841000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10289721\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,4]]},"references-count":19,"URL":"https:\/\/doi.org\/10.23919\/eusipco58844.2023.10289721","relation":{},"subject":[],"published":{"date-parts":[[2023,9,4]]}}}