{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:14:42Z","timestamp":1740132882696,"version":"3.37.3"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3358097","type":"journal-article","created":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T18:50:55Z","timestamp":1706122255000},"page":"671-675","source":"Crossref","is-referenced-by-count":0,"title":["FRS: Adaptive Score for Improving Acoustic Source Classification From Noisy Signals"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8662-7522","authenticated-orcid":false,"given":"R.","family":"Marinati","sequence":"first","affiliation":[{"name":"Laboratory of Acoustic Signal Processing, Military Institute of Engineering, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8170-3992","authenticated-orcid":false,"given":"R.","family":"Coelho","sequence":"additional","affiliation":[{"name":"Laboratory of Acoustic Signal Processing, Military Institute of Engineering, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6438-9380","authenticated-orcid":false,"given":"L.","family":"Z\u00e3o","sequence":"additional","affiliation":[{"name":"Laboratory of Acoustic Signal Processing, Military Institute of Engineering, Rio de Janeiro, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2657381"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LSENS.2019.2917661"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3030497"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SSP49050.2021.9513851"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3150258"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1999.758106"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2023.3258219"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3093392"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2495102"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2312541"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2180896"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2003.811544"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1987.1169544"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2011.2169453"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2007.899278"},{"key":"ref16","first-page":"4768","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Lundberg","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1980.1163420"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2355821"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2311435"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref21","first-page":"3145","article-title":"Learning important features through propagating activation differences","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Shrikumar","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-1764"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1049\/iet-spr.2011.0216"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2043971"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806390"},{"key":"ref26","first-page":"93","article-title":"The DARPA speech recognition research database: Specifications and status","volume-title":"Proc. DARPA Workshop Speech Recognit.","author":"Fisher","year":"1986"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489497"},{"key":"ref28","first-page":"9","article-title":"A multi-device dataset for urban acoustic scene classification","volume-title":"Proc. Detection Classification Acoust. Scenes Events Workshop","author":"Mesaros","year":"2018"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/10380231\/10413560.pdf?arnumber=10413560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T01:08:09Z","timestamp":1709860089000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10413560\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3358097","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2024]]}}}