{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T17:01:40Z","timestamp":1791910900084,"version":"4.3.4"},"reference-count":84,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T00:00:00Z","timestamp":1747699200000},"content-version":"vor","delay-in-days":139,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Depression and Anxiety"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>\n                    Depression accounts for a major share of global disability\u2010adjusted life\u2010years (DALYs). Diagnosis typically requires a psychiatrist or lengthy self\u2010assessments, which can be challenging for symptomatic individuals. Developing reliable, noninvasive, and accessible detection methods is a healthcare priority. Voice analysis offers a promising approach for early depression detection, potentially improving treatment access and reducing costs. This paper presents a novel pipeline for depression detection that addresses several critical challenges in the field, including data imbalance, label quality, and model generalizability. Our study utilizes a high\u2010quality, high\u2010depression\u2010prevalence dataset collected from a specialized chronic pain clinic, enabling robust depression detection even with a limited sample size. We obtained a lift in the accuracy of up to 15% over the 50\u201350 baseline in our 52\u2010patient dataset using a 3\u2010fold cross\u2010validation test (which means the train set is\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200934, std 2.8%,\n                    <jats:italic>p<\/jats:italic>\n                    \u2010value 0.01). We further show that combining voice\u2010only acoustic features with a single self\u2010report question (subject unit of distress [SUDs]) significantly improves predictive accuracy. While relying on SUDs is not always good practice, our data collection setting lacked incentives to misrepresent depression status; SUDs were highly reliable, giving 86% accuracy; adding acoustic features raises it to 92%, exceeding the stand\u2010alone potential of SUDs with a\n                    <jats:italic>p<\/jats:italic>\n                    \u2010value 0.1. Further data collection will enhance accuracy, supporting a rapid, noninvasive depression detection method that overcomes clinical barriers. These findings offer a promising tool for early depression detection across clinical settings.\n                  <\/jats:p>","DOI":"10.1155\/da\/4839334","type":"journal-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T02:49:23Z","timestamp":1747795763000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Method Matters: Enhancing Voice\u2010Based Depression Detection With a New Data Collection Framework"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3895-688X","authenticated-orcid":false,"given":"Dan","family":"Vilenchik","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7890-8081","authenticated-orcid":false,"given":"Julie","family":"Cwikel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8514-1950","authenticated-orcid":false,"given":"Yacov","family":"Ezra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tuvia","family":"Hausdorff","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mor","family":"Lazarov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9583-008X","authenticated-orcid":false,"given":"Ruslan","family":"Sergienko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rachel","family":"Abramovitz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ilana","family":"Schmidt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8644-7871","authenticated-orcid":false,"given":"Alison Stern","family":"Perez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,5,20]]},"reference":[{"key":"e_1_2_16_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2022.101675"},{"key":"e_1_2_16_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(09)60879-5"},{"key":"e_1_2_16_3_2","doi-asserted-by":"publisher","DOI":"10.1136\/qhc.12.2.149"},{"key":"e_1_2_16_4_2","first-page":"63","article-title":"Does Specializing in Family Medicine Improve the Detection and Diagnosis of Mental Health Problems?","volume":"53","author":"Hornik-Lurie T.","year":"2016","journal-title":"The Israel Journal of Psychiatry and Related Sciences"},{"key":"e_1_2_16_5_2","unstructured":"World Health Organization WHO and ILO Call for New Measures to Tackle Mental Health Issues at Work 2022 https:\/\/www.who.int\/news\/item\/28-09-2022-who-and-ilo-call-for-new-measures-to-tackle-mental-health-issues-at-work."},{"key":"e_1_2_16_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10488-020-01065-8"},{"key":"e_1_2_16_7_2","doi-asserted-by":"publisher","DOI":"10.1136\/ewjm.175.5.349"},{"key":"e_1_2_16_8_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.325.7371.1016"},{"key":"e_1_2_16_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssmph.2017.07.012"},{"key":"e_1_2_16_10_2","doi-asserted-by":"publisher","DOI":"10.1080\/13814788.2021.1985997"},{"key":"e_1_2_16_11_2","doi-asserted-by":"publisher","DOI":"10.1097\/YCO.0000000000000056"},{"key":"e_1_2_16_12_2","doi-asserted-by":"publisher","DOI":"10.2196\/17458"},{"key":"e_1_2_16_13_2","doi-asserted-by":"publisher","DOI":"10.3109\/10673229.2012.649108"},{"key":"e_1_2_16_14_2","doi-asserted-by":"publisher","DOI":"10.1192\/S0007125000298395"},{"key":"e_1_2_16_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2009.12.005"},{"key":"e_1_2_16_16_2","doi-asserted-by":"crossref","unstructured":"VergyriD. KnothB. andShribergE. et al.Speech-Based Assessment of PTSD in a Military Population Using Diverse Feature Classes Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech 2015) 2015 Dresden Germany ISCA 3729\u20133733.","DOI":"10.21437\/Interspeech.2015-740"},{"key":"e_1_2_16_17_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-019-0188-8"},{"key":"e_1_2_16_18_2","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5565967"},{"key":"e_1_2_16_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/da.23020"},{"key":"e_1_2_16_20_2","doi-asserted-by":"publisher","DOI":"10.1002\/lio2.354"},{"key":"e_1_2_16_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.parkreldis.2015.02.026"},{"key":"e_1_2_16_22_2","doi-asserted-by":"crossref","unstructured":"PareekV.andSharmaR. Coronary Heart Disease Detection From Voice Analysis 2016 IEEE Students\u2019 Conference on Electrical Electronics and Computer Science (SCEECS) 2016 IEEE.","DOI":"10.1109\/SCEECS.2016.7509344"},{"key":"e_1_2_16_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3075571"},{"key":"e_1_2_16_24_2","doi-asserted-by":"publisher","DOI":"10.1002\/da.22890"},{"key":"e_1_2_16_25_2","doi-asserted-by":"publisher","DOI":"10.1101\/2020.07.08.20147504"},{"key":"e_1_2_16_26_2","doi-asserted-by":"publisher","DOI":"10.2196\/39807"},{"key":"e_1_2_16_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpsc.2020.06.004"},{"key":"e_1_2_16_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.schres.2012.07.001"},{"key":"e_1_2_16_29_2","doi-asserted-by":"crossref","unstructured":"AldenehZ. JaiswalM. PichenyM. McInnisM. G. andProvostE. M. Identifying Mood Episodes Using Dialogue Features From Clinical Interviews 2019 1926\u20131930 https:\/\/doi.org\/10.21437\/Interspeech.2019-1878.","DOI":"10.21437\/Interspeech.2019-1878"},{"key":"e_1_2_16_30_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.645998"},{"key":"e_1_2_16_31_2","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12113"},{"key":"e_1_2_16_32_2","unstructured":"WangJ. SuiX. andHuB. et al.Detecting Postpartum Depression in Depressed People by Speech Features 3 Human Centered Computing: Third International Conference HCC 2017 2018 Kazan Russia Springer International Publishing 433\u2013442 Revised Selected Papers."},{"key":"e_1_2_16_33_2","doi-asserted-by":"publisher","DOI":"10.1017\/S0033291720002718"},{"key":"e_1_2_16_34_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2012.03.015"},{"key":"e_1_2_16_35_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2091640"},{"key":"e_1_2_16_36_2","doi-asserted-by":"publisher","DOI":"10.1007\/s42600-020-00100-9"},{"key":"e_1_2_16_37_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-63556-0"},{"key":"e_1_2_16_38_2","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2024.1394210"},{"key":"e_1_2_16_39_2","doi-asserted-by":"publisher","DOI":"10.3390\/jcm10143046"},{"key":"e_1_2_16_40_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2023.1195276"},{"key":"e_1_2_16_41_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.105020"},{"key":"e_1_2_16_42_2","doi-asserted-by":"publisher","DOI":"10.1097\/00002508-199706000-00006"},{"key":"e_1_2_16_43_2","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.133.4.581"},{"key":"e_1_2_16_44_2","doi-asserted-by":"publisher","DOI":"10.1016\/0304-3959(88)90220-5"},{"key":"e_1_2_16_45_2","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1399"},{"key":"e_1_2_16_46_2","doi-asserted-by":"publisher","DOI":"10.1159\/000515346"},{"key":"e_1_2_16_47_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2022.811517"},{"key":"e_1_2_16_48_2","doi-asserted-by":"publisher","DOI":"10.3390\/ph13100305"},{"key":"e_1_2_16_49_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2017.08.038"},{"key":"e_1_2_16_50_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10759-6"},{"key":"e_1_2_16_51_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2008.06.026"},{"key":"e_1_2_16_52_2","doi-asserted-by":"publisher","DOI":"10.1177\/014662167700100306"},{"key":"e_1_2_16_53_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10484-011-9174-x"},{"key":"e_1_2_16_54_2","doi-asserted-by":"publisher","DOI":"10.3109\/01612840.2013.804895"},{"key":"e_1_2_16_55_2","unstructured":"KeddellE. Women\u2019s Views of the Edinburgh Postnatal Depression Scale 2012 University of Otago Masterth\u2019s Thesis."},{"key":"e_1_2_16_56_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2020.12.159"},{"key":"e_1_2_16_57_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2020.101118"},{"key":"e_1_2_16_58_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2007.902876"},{"key":"e_1_2_16_59_2","doi-asserted-by":"publisher","DOI":"10.1145\/3107990.3108004"},{"key":"e_1_2_16_60_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.03.045"},{"key":"e_1_2_16_61_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2022.07.006"},{"key":"e_1_2_16_62_2","doi-asserted-by":"publisher","DOI":"10.1097\/00006842-200203000-00008"},{"key":"e_1_2_16_63_2","doi-asserted-by":"publisher","DOI":"10.30773\/pi.2019.02.01"},{"key":"e_1_2_16_64_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.clinicalnlp-1.8"},{"key":"e_1_2_16_65_2","doi-asserted-by":"publisher","DOI":"10.1097\/01.psy.0000204851.15499.fc"},{"key":"e_1_2_16_66_2","doi-asserted-by":"crossref","unstructured":"OshratY. BlochA. LernerA. CohenA. AvigalM. andZeiligG. Speech Prosody as a Biosignal for Physical Pain Detection Conference Proceeding 8th Speech Prosody 2016 ISCA 420\u2013424.","DOI":"10.21437\/SpeechProsody.2016-86"},{"key":"e_1_2_16_67_2","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering10040500"},{"key":"e_1_2_16_68_2","doi-asserted-by":"publisher","DOI":"10.14704\/nq.2022.20.4.NQ22127"},{"key":"e_1_2_16_69_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2648.2005.03521.x"},{"key":"e_1_2_16_70_2","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.163.1.28"},{"key":"e_1_2_16_71_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1049-3867(01)00086-X"},{"key":"e_1_2_16_72_2","first-page":"27","article-title":"Subjective Units of Distress Scale","volume":"1","author":"Wolpe J.","year":"1969","journal-title":"Journal of EMDR Practice and Research"},{"key":"e_1_2_16_73_2","doi-asserted-by":"crossref","unstructured":"EybenF. W\u00f6llmerM. andSchullerB. openSMILE: The Munich Versatile and Fast Open-Source Audio Feature Extractor Proceedings of the 18th ACM International Conference on Multimedia 2010 ACM 1459\u20131462.","DOI":"10.1145\/1873951.1874246"},{"key":"e_1_2_16_74_2","unstructured":"ProkhorenkovaL. GusevG. VorobevA. DorogushA. V. andGulinA. CatBoost: Unbiased Boosting With Categorical Features Part of Advances in Neural Information Processing Systems 31 2018 NeurIPS Proceedings."},{"key":"e_1_2_16_75_2","first-page":"12449","article-title":"wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations","volume":"33","author":"Baevski A.","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_16_76_2","first-page":"4765","article-title":"A Unified Approach to Interpreting Model Predictions","volume":"30","author":"Lundberg S. M.","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_16_77_2","doi-asserted-by":"publisher","DOI":"10.18280\/ts.390109"},{"key":"e_1_2_16_78_2","doi-asserted-by":"publisher","DOI":"10.1176\/ajp.94.4.913"},{"key":"e_1_2_16_79_2","doi-asserted-by":"publisher","DOI":"10.1155\/2023\/9928446"},{"key":"e_1_2_16_80_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvoice.2021.06.018"},{"key":"e_1_2_16_81_2","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.163.20.2433"},{"key":"e_1_2_16_82_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aip.2014.05.002"},{"key":"e_1_2_16_83_2","doi-asserted-by":"publisher","DOI":"10.1017\/S1352465800000072"},{"key":"e_1_2_16_84_2","doi-asserted-by":"crossref","unstructured":"van den BroekE. L. van der SluisF. andDijkstraT. Therapy Progress Indicator (TPI): Combining Speech Parameters and the Subjective Unit of Distress 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops 2009 IEEE.","DOI":"10.1109\/ACII.2009.5349554"}],"container-title":["Depression and Anxiety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/da\/4839334","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1155\/da\/4839334","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/da\/4839334","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T10:42:43Z","timestamp":1772966563000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/da\/4839334"}},"subtitle":[],"editor":[{"given":"S. M. Yasir","family":"Arafat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":84,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["10.1155\/da\/4839334"],"URL":"https:\/\/doi.org\/10.1155\/da\/4839334","archive":["Portico"],"relation":{},"ISSN":["1091-4269","1520-6394"],"issn-type":[{"value":"1091-4269","type":"print"},{"value":"1520-6394","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"2024-09-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-04-29","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-05-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"4839334"}}