{"id":"https://openalex.org/W4410852561","doi":"https://doi.org/10.1109/jbhi.2025.3574864","title":"TTFNet: Temporal-Frequency Features Fusion Network for Speech Based Automatic Depression Recognition and Assessment","display_name":"TTFNet: Temporal-Frequency Features Fusion Network for Speech Based Automatic Depression Recognition and Assessment","publication_year":2025,"publication_date":"2025-05-29","ids":{"openalex":"https://openalex.org/W4410852561","doi":"https://doi.org/10.1109/jbhi.2025.3574864","pmid":"https://pubmed.ncbi.nlm.nih.gov/40440151"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3574864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3574864","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xiyuan Chen","orcid":"https://orcid.org/0009-0007-9477-8778"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyuan Chen","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-9477-8778","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026412163","display_name":"Zhuhong Shao","orcid":"https://orcid.org/0000-0002-4847-282X"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuhong Shao","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4847-282X","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018478417","display_name":"Yinan Jiang","orcid":"https://orcid.org/0000-0001-9023-4975"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I2801228662","display_name":"Peking Union Medical College Hospital","ror":"https://ror.org/04jztag35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801228662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Jiang","raw_affiliation_strings":["Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychological Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I2801228662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054508945","display_name":"Runsen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126646","display_name":"Vanke (China)","ror":"https://ror.org/0329dzd04","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126646"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runsen Chen","raw_affiliation_strings":["Tsinghua University Vanke School of Public Health, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3398-5750","affiliations":[{"raw_affiliation_string":"Tsinghua University Vanke School of Public Health, Beijing, China","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210126646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398969","display_name":"Yunlong Wang","orcid":"https://orcid.org/0000-0002-3535-308X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Wang","raw_affiliation_strings":["Institute of Automation of the Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3535-308X","affiliations":[{"raw_affiliation_string":"Institute of Automation of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017842484","display_name":"Bicao Li","orcid":"https://orcid.org/0000-0003-2275-0681"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bicao Li","raw_affiliation_strings":["School of Information and Communication Engineering, Zhongyuan University of Technology, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2275-0681","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Zhongyuan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094262973","display_name":"Mingyue Niu","orcid":"https://orcid.org/0009-0000-5133-7525"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyue Niu","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0009-0000-5133-7525","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085490591","display_name":"Hongguang Chen","orcid":"https://orcid.org/0000-0001-6716-5393"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210162420","display_name":"Peking University Sixth Hospital","ror":"https://ror.org/05rzcwg85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162420"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongguang Chen","raw_affiliation_strings":["Peking University Sixth Hospital, Beijing, China","Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University Sixth Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210162420"]},{"raw_affiliation_string":"Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210162420"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101406449","display_name":"Qiang Hu","orcid":"https://orcid.org/0000-0002-7793-4835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiang Hu","raw_affiliation_strings":["Department of Psychiatry, ZhenJiang Mental Health Center, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, ZhenJiang Mental Health Center, Zhenjiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078388244","display_name":"Jiasong Wu","orcid":"https://orcid.org/0000-0001-7171-1318"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiasong Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7171-1318","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106479022","display_name":"Chunfeng Yang","orcid":"https://orcid.org/0000-0002-9026-0046"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfeng Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9026-0046","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101924786","display_name":"Yuanyuan Shang","orcid":"https://orcid.org/0000-0003-3135-0348"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Shang","raw_affiliation_strings":["College of Information Engineering, Capital Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3135-0348","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.1839,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98613887,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"29","issue":"10","first_page":"7536","last_page":"7548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9556999802589417,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6861907839775085},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6209480166435242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47726625204086304},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41824275255203247},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3604024350643158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33894479274749756},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0883004367351532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6861907839775085},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6209480166435242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47726625204086304},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41824275255203247},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3604024350643158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33894479274749756},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0883004367351532},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003863","descriptor_name":"Depression","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003863","descriptor_name":"Depression","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003863","descriptor_name":"Depression","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003863","descriptor_name":"Depression","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013060","descriptor_name":"Speech","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D013060","descriptor_name":"Speech","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D013060","descriptor_name":"Speech","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D013060","descriptor_name":"Speech","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3574864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3574864","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40440151","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40440151","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5407837808","display_name":null,"funder_award_id":"62476055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6937708037","display_name":null,"funder_award_id":"2022YFE0116700","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G8155102002","display_name":null,"funder_award_id":"62476178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1976066595","https://openalex.org/W2056403322","https://openalex.org/W2182295029","https://openalex.org/W2529925562","https://openalex.org/W2751214333","https://openalex.org/W2940625370","https://openalex.org/W2966878259","https://openalex.org/W2980931499","https://openalex.org/W2981660166","https://openalex.org/W2981677410","https://openalex.org/W2981882673","https://openalex.org/W3015554124","https://openalex.org/W3036548303","https://openalex.org/W3093483861","https://openalex.org/W3095858789","https://openalex.org/W3097777922","https://openalex.org/W3101080567","https://openalex.org/W3134427999","https://openalex.org/W3154135515","https://openalex.org/W3154272446","https://openalex.org/W3162589478","https://openalex.org/W3197558301","https://openalex.org/W3205969292","https://openalex.org/W3206733826","https://openalex.org/W3214493799","https://openalex.org/W4206144048","https://openalex.org/W4225324845","https://openalex.org/W4225931507","https://openalex.org/W4226095941","https://openalex.org/W4285132306","https://openalex.org/W4292323245","https://openalex.org/W4295872979","https://openalex.org/W4310424776","https://openalex.org/W4312994565","https://openalex.org/W4313443450","https://openalex.org/W4322730953","https://openalex.org/W4366380742","https://openalex.org/W4368232813","https://openalex.org/W4372269226","https://openalex.org/W4375929004","https://openalex.org/W4378364420","https://openalex.org/W4385823099","https://openalex.org/W4386763887","https://openalex.org/W4388782451","https://openalex.org/W4390691951","https://openalex.org/W4392963607","https://openalex.org/W4397031610","https://openalex.org/W4401971359","https://openalex.org/W4402112320","https://openalex.org/W4402327317","https://openalex.org/W4405718301","https://openalex.org/W4408345731"],"related_works":["https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2967030268","https://openalex.org/W2185253430","https://openalex.org/W4210345652","https://openalex.org/W1984333081","https://openalex.org/W2945063165","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Related":[0],"studies":[1],"have":[2],"revealed":[3],"that":[4,183],"the":[5,19,60,68,71,87,104,112,120,147,153,166,173],"phonological":[6],"features":[7,48,66,157],"of":[8,15,22,74,156,165],"depressed":[9],"patients":[10],"are":[11,81],"different":[12,159],"from":[13,158],"those":[14],"healthy":[16],"individuals.":[17],"With":[18],"increasing":[20],"prevalence":[21],"depression,":[23],"an":[24,39,129],"objective":[25],"and":[26,77,124,140,179,194],"convenient":[27],"approach":[28],"for":[29,132],"early":[30],"screening":[31],"is":[32,92],"necessary.":[33],"To":[34],"this":[35,145],"end,":[36],"we":[37,100,127],"propose":[38],"automatic":[40],"depression":[41,192],"detection":[42],"method":[43,185],"based":[44],"on":[45,144,172],"hybrid":[46],"speech":[47,76],"extracted":[49],"by":[50],"deep":[51],"learning,":[52],"dubbed":[53],"as":[54],"TTFNet.":[55],"Firstly,":[56],"to":[57,94,109,117],"effectively":[58],"excavate":[59],"intrinsic":[61],"relationship":[62],"among":[63],"multidimensional":[64],"dynamic":[65],"in":[67,190],"frequency":[69,125],"domain,":[70],"log-Mel":[72],"spectrogram":[73],"raw":[75],"its":[78],"related":[79],"derivatives":[80],"encoded":[82],"into":[83],"quaternion":[84,90],"representation.":[85],"Then,":[86],"innovatively":[88],"designed":[89],"VisionLSTM":[91],"utilized":[93],"capture":[95],"their":[96],"synergistic":[97],"effects.":[98],"Simultaneously,":[99],"integrate":[101],"sLSTM":[102],"with":[103],"pre-trained":[105],"wav2vec":[106],"2.0":[107],"model":[108],"fully":[110],"acquire":[111],"temporal":[113,123],"features.":[114],"In":[115],"addition,":[116],"further":[118],"exploit":[119],"complementarity":[121],"between":[122],"features,":[126],"design":[128],"XConformer":[130],"block":[131],"cross-sequence":[133],"interactions,":[134],"which":[135],"ingeniously":[136],"combines":[137],"self-attention":[138],"mechanisms":[139],"convolutional":[141],"modules.":[142],"Based":[143],"block,":[146],"dual-path":[148],"fusion":[149],"module":[150],"closely":[151],"utilizes":[152],"mutual":[154],"promotion":[155],"domains,":[160],"thereby":[161],"enhancing":[162],"generalization":[163],"capability":[164],"proposed":[167],"model.":[168],"Extensive":[169],"experiments":[170],"conducted":[171],"AVEC":[174,176],"2013,":[175],"2014,":[177],"DAIC-WOZ":[178],"E-DAIC":[180],"datasets":[181],"demonstrate":[182],"our":[184],"outperforms":[186],"current":[187],"state-of-the-art":[188],"methods":[189],"both":[191],"recognition":[193],"severity":[195],"prediction":[196],"tasks.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}