{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:44:53Z","timestamp":1754160293492,"version":"3.41.2"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003086","name":"Eusko Jaurlaritza","doi-asserted-by":"publisher","award":["ZL-2024\/00481"],"award-info":[{"award-number":["ZL-2024\/00481"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006280","name":"Ministerio de Ciencia y Tecnolog?a","doi-asserted-by":"publisher","award":["CPP2022-010045","PID2023-146254OA-C44","PID2023-146254OB-C41","PRE2020-095612"],"award-info":[{"award-number":["CPP2022-010045","PID2023-146254OA-C44","PID2023-146254OB-C41","PRE2020-095612"]}],"id":[{"id":"10.13039\/501100006280","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3590626","type":"journal-article","created":{"date-parts":[[2025,7,18]],"date-time":"2025-07-18T17:46:32Z","timestamp":1752860792000},"page":"127240-127251","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Synthetic Data to Develop a Machine Learning Model for Voiding Flow Rate Prediction From Audio Signals"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9362-4186","authenticated-orcid":false,"given":"Marcos Lazaro","family":"Alvarez","sequence":"first","affiliation":[{"name":"Faculty of Engineering, University of Deusto, Bilbao, Bizkaia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3370-3338","authenticated-orcid":false,"given":"Alfonso","family":"Bahillo","sequence":"additional","affiliation":[{"name":"Department of Signal Theory and Communications, Universidad de Valladolid, Valladolid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9815-446X","authenticated-orcid":false,"given":"Laura","family":"Arjona","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Deusto, Bilbao, Bizkaia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2776-900X","authenticated-orcid":false,"given":"Diogo","family":"Marcelo Nogueira","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Faculdade de Ci&#x00EA;ncias da Universidade do Porto, Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3610-8788","authenticated-orcid":false,"given":"Elsa","family":"Ferreira Gomes","sequence":"additional","affiliation":[{"name":"INESC TEC-Institute for Systems and Computer Engineering, Technology, and Science, Campus da FEUP, Porto, Portugal"}]},{"given":"Al\u00edpio M.","family":"Jorge","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Faculdade de Ci&#x00EA;ncias da Universidade do Porto, Porto, Portugal"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0300-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2017.03.571"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s40846-018-0375-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0211-139X(08)71148-X"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12144-019-00364-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0090-4295(01)01547-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/iju.12796"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1111\/luts.12134"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5213\/inj.2040250.125"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0302-2838(22)00922-8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s13636-024-00332-y"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1136\/bmjinnov-2019-000382"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3140590"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC48229.2022.9871611"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-90659-9"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/nau.10066"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-84978-w"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SPCOM50965.2020.9179604"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.4236\/cs.2016.74024"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-019-1286-5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.08.069"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/app6050143"},{"key":"ref23","article-title":"Feature learning for chord recognition: The deep chroma extractor","author":"Korzeniowski","year":"2016","journal-title":"arXiv:1612.05065"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2022.023278"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC40787.2023.10341012"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-84457-7_41"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00143"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5489\/cuaj.7362"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5213\/inj.2142154.077"},{"volume-title":"Precise Laboratory Peristaltic Pump","year":"2025","key":"ref30"},{"volume-title":"Ultramic 384K BLE","year":"2025","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-025-05358-1"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-025-05358-1"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3109\/10408368809105890"},{"volume-title":"Homepage-Minze Health","year":"2024","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3102\/1076998619832248"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9326-7_5"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445169"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.2307\/2699986"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1561\/2000000039"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11336-014-9439-4"},{"article-title":"Robust bandwidth extension of narrowband speech","year":"2004","author":"Hsu","key":"ref43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-7b98e3ed-003"},{"key":"ref45","article-title":"Optimal scalogram for computational complexity reduction in acoustic recognition using deep learning","author":"Phan","year":"2025","journal-title":"arXiv:2505.13017"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11084787.pdf?arnumber=11084787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T07:37:35Z","timestamp":1753515455000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11084787\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3590626","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}