{"id":"https://openalex.org/W4416799786","doi":"https://doi.org/10.1109/apsipaasc65261.2025.11249105","title":"Dynamic Fusion Multimodal Network for Speechwellness Detection","display_name":"Dynamic Fusion Multimodal Network for Speechwellness Detection","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W4416799786","doi":"https://doi.org/10.1109/apsipaasc65261.2025.11249105"},"language":null,"primary_location":{"id":"doi:10.1109/apsipaasc65261.2025.11249105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc65261.2025.11249105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043920588","display_name":"Wenqiang Sun","orcid":"https://orcid.org/0000-0002-8589-639X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Sun","raw_affiliation_strings":["Northwestern Polytechnical University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011581362","display_name":"Han Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Han Yin","raw_affiliation_strings":["School of Electrical Engineering, KAIST,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KAIST,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027263923","display_name":"Jisheng Bai","orcid":"https://orcid.org/0000-0002-9803-8212"},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jisheng Bai","raw_affiliation_strings":["LianFeng Acoustic Technologies Co. Ltd.,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LianFeng Acoustic Technologies Co. Ltd.,Xi'an,China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100330936","display_name":"Jianfeng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Chen","raw_affiliation_strings":["Northwestern Polytechnical University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,Xi'an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37842921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2002","last_page":"2007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.676800012588501,"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":0.676800012588501,"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":0.1454000025987625,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.028300000354647636,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5533999800682068},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5516999959945679},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49720001220703125},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.49309998750686646},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4796999990940094},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.478300005197525},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4431999921798706},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.40389999747276306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870999932289124},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5533999800682068},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5516999959945679},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49720001220703125},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.49309998750686646},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4796999990940094},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.478300005197525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4767000079154968},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3336000144481659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.328000009059906},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.322299987077713},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.3037000000476837},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25870001316070557},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc65261.2025.11249105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc65261.2025.11249105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W2003502731","https://openalex.org/W2172110927","https://openalex.org/W2284161406","https://openalex.org/W2920856932","https://openalex.org/W2981984641","https://openalex.org/W2998535576","https://openalex.org/W3007747411","https://openalex.org/W3126772981","https://openalex.org/W3209984917","https://openalex.org/W4283067311","https://openalex.org/W4289521725","https://openalex.org/W4308160155","https://openalex.org/W4312112586","https://openalex.org/W4316371441","https://openalex.org/W4385245566","https://openalex.org/W4402531862","https://openalex.org/W4405633283","https://openalex.org/W4415015956"],"related_works":[],"abstract_inverted_index":{"Suicide":[0],"is":[1],"one":[2],"of":[3,7,29,42,54,80,141],"the":[4,27,52,55,78,131,135,139,155,163,171],"leading":[5],"causes":[6],"death":[8],"among":[9],"adolescents.":[10],"Previous":[11],"suicide":[12],"risk":[13],"prediction":[14],"studies":[15],"have":[16],"primarily":[17],"focused":[18],"on":[19,68,85],"either":[20],"textual":[21],"or":[22],"acoustic":[23,89,100],"information":[24,118],"in":[25,51,179,187],"isolation,":[26],"integration":[28],"multimodal":[30,65],"signals,":[31],"such":[32],"as":[33,102,104],"speech":[34],"and":[35,50,96,182],"text,":[36],"offers":[37],"a":[38,62,69,111,150,175,183],"more":[39],"comprehensive":[40],"understanding":[41],"an":[43],"individual's":[44],"mental":[45],"state.":[46],"Motivated":[47],"by":[48,153],"this,":[49],"context":[53],"1st":[56],"SpeechWellness":[57],"detection":[58],"challenge,":[59],"we":[60,109,148],"explore":[61],"lightweight":[63,151],"multi-branch":[64],"system":[66,92,165],"based":[67],"dynamic":[70,112],"fusion":[71,113,132],"mechanism":[72],"for":[73,88],"speechwellness":[74],"detection.":[75],"To":[76,144],"address":[77],"limitation":[79],"prior":[81],"approaches":[82],"that":[83,162],"rely":[84],"time-domain":[86,95],"waveforms":[87],"analysis,":[90],"our":[91],"incorporates":[93],"both":[94],"time-frequency":[97],"(TF)":[98],"domain":[99],"features,":[101],"well":[103],"semantic":[105],"representations.":[106],"In":[107],"addition,":[108],"introduce":[110],"block":[114],"to":[115,127,137,170],"adaptively":[116],"integrate":[117],"from":[119],"different":[120],"modalities.":[121],"Specifically,":[122],"it":[123],"applies":[124],"learnable":[125],"weights":[126],"each":[128,142],"modality":[129],"during":[130],"process,":[133],"enabling":[134],"model":[136,180],"adjust":[138],"contribution":[140],"modality.":[143],"enhance":[145],"computational":[146],"efficiency,":[147],"design":[149],"structure":[152],"simplifying":[154],"original":[156],"baseline":[157],"model.":[158],"Experimental":[159],"results":[160],"demonstrate":[161],"proposed":[164],"exhibits":[166],"superior":[167],"performance":[168],"compared":[169],"challenge":[172],"baseline,":[173],"achieving":[174],"78":[176],"%":[177,185],"reduction":[178],"parameters":[181],"5":[184],"improvement":[186],"accuracy.":[188]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-28T00:00:00"}