{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T02:01:58Z","timestamp":1789524118517,"version":"build-2803163510"},"reference-count":26,"publisher":"Acoustical Society of America (ASA)","issue":"5","license":[{"start":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T00:00:00Z","timestamp":1753228800000},"content-version":"vor","delay-in-days":83,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["pubs.aip.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,5,1]]},"abstract":"<jats:p>The increasing needs for controlling high noise levels motivate development of automatic sound event detection and classification methods. Little work deals with automatic train pass-by detection despite a high degree of annoyance. To this matter, an innovative approach is proposed in this paper. A generic classifier identifies vehicle noise on the raw audio signal. Then, combined short sound level analysis and mel-spectrogram-based classification refine this outcome to discard anything but train pass-bys. On various long-term signals, a 90% temporal overlap with reference demarcation is observed. This high detection rate allows a proper railway noise contribution estimation in different soundscapes.<\/jats:p>","DOI":"10.1121\/10.0036754","type":"journal-article","created":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T08:56:37Z","timestamp":1747644997000},"update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":1,"title":["Robust automatic train pass-by detection combining deep learning and sound level analysis"],"prefix":"10.1121","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6244-1409","authenticated-orcid":false,"given":"Erwann","family":"Betton-Ployon","sequence":"first","affiliation":[{"name":"ACOUSTB, Saint-Martin-d'H\u00e9res 1 , 38400,","place":["France"]},{"name":"Universit\u00e9 Grenoble Alpes, CNRS, Grenoble-INP, GIPSA-Lab 2 , Grenoble 38000,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abbes","family":"Kacem","sequence":"additional","affiliation":[{"name":"ACOUSTB, Saint-Martin-d'H\u00e9res 1 , 38400,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6538-7865","authenticated-orcid":false,"given":"J\u00e9r\u00f4me","family":"Mars","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Grenoble Alpes, CNRS, Grenoble-INP, GIPSA-Lab 2 , Grenoble 38000,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nadine","family":"Martin","sequence":"additional","affiliation":[{"name":"ASTRIIS 3 , Chamb\u00e9ry 73000, erwann.betton-ployon@egis-group.com , abbes.kacem@egis-group.com , jerome.mars@gipsa-lab.grenoble-inp.fr , nadine.martin@astriis.com","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"231","published-online":{"date-parts":[[2025,5,19]]},"reference":[{"issue":"1","key":"2025072315213905000_c1","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1515\/REVEH.2000.15.1-2.43","article-title":"Noise and health in the urban environment","volume":"15","year":"2000","journal-title":"Rev. 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