{"id":"https://openalex.org/W7129870466","doi":"https://doi.org/10.48550/arxiv.2602.13259","title":"Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition","display_name":"Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7129870466","doi":"https://doi.org/10.48550/arxiv.2602.13259"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.13259","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126273381","display_name":"Xu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126268182","display_name":"Longbing Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Longbing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126180323","display_name":"Runze Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Runze","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126221796","display_name":"Zhangkai Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhangkai","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5126273381"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9340999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9340999722480774,"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/T10863","display_name":"Voice and Speech Disorders","score":0.020400000736117363,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.0066999997943639755,"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/vocal-tract","display_name":"Vocal tract","score":0.6240000128746033},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5160999894142151},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5092999935150146},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.444599986076355},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4000000059604645},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3758000135421753},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.35899999737739563},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.3571000099182129}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6568999886512756},{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.6240000128746033},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6165000200271606},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5160999894142151},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5092999935150146},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.444599986076355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42289999127388},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3758000135421753},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.3068999946117401},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2624000012874603}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.13259","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.13259","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.13259","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.13259","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.5068157315254211,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Speech":[0],"emotion":[1],"recognition":[2],"(SER)":[3],"is":[4,218,242],"essential":[5],"for":[6,26,144,176,214,225],"humanoid":[7,249],"robot":[8],"tasks":[9],"such":[10],"as":[11],"social":[12],"robotic":[13,16,250],"interactions":[14],"and":[15,21,28,47,51,72,82,102,105,130,137,171,181,204,223,235,238],"psychological":[17],"diagnosis,":[18],"where":[19],"interpretable":[20,222],"efficient":[22,224],"models":[23,32,90,143],"are":[24,198],"critical":[25],"safety":[27],"performance.":[29],"Existing":[30],"deep":[31,89],"trained":[33],"on":[34,62,163,187,247],"large":[35],"datasets":[36],"remain":[37],"largely":[38],"uninterpretable,":[39],"often":[40],"insufficiently":[41],"modeling":[42,177],"underlying":[43],"emotional":[44,57],"acoustic":[45],"signals":[46,161],"failing":[48],"to":[49,96,118,140,158,220],"capture":[50],"analyze":[52],"the":[53,67,78,83,98],"core":[54],"physiology":[55,138],"of":[56,69,101],"vocal":[58,70,79,113,154,160],"behaviors.":[59],"Physiological":[60],"research":[61],"human":[63],"voices":[64],"shows":[65],"that":[66],"dynamics":[68],"amplitude":[71,93,104,129],"phase":[73,131],"correlate":[74],"with":[75,122],"emotions":[76],"through":[77,227],"tract":[80],"filter":[81],"glottal":[84],"source.":[85],"However,":[86],"most":[87],"existing":[88],"solely":[91],"involve":[92],"but":[94],"fail":[95],"couple":[97],"physiological":[99],"features":[100,194],"between":[103],"phase.":[106],"Here,":[107],"we":[108],"propose":[109],"PhysioSER,":[110],"a":[111,123,153,168,182,188,201,209,248],"physiology-informed":[112],"spectrotemporal":[114],"representation":[115,156,184],"learning":[116],"method,":[117],"address":[119],"these":[120],"issues":[121],"compact,":[124],"plug-and-play":[125],"design.":[126],"PhysioSER":[127,217],"constructs":[128],"views":[132],"informed":[133],"by":[134,200,208,244],"voice":[135],"anatomy":[136],"(VAP)":[139],"complement":[141],"SSL":[142,190],"SER.":[145],"This":[146],"VAP-informed":[147],"framework":[148],"incorporates":[149],"two":[150],"parallel":[151],"workflows:":[152],"feature":[155],"branch":[157,185],"decompose":[159],"based":[162,186],"VAP,":[164],"embed":[165],"them":[166],"into":[167],"quaternion":[169,174],"field,":[170],"use":[172],"Hamilton-structured":[173],"convolutions":[175],"their":[178],"dynamic":[179],"interactions;":[180],"latent":[183],"frozen":[189],"backbone.":[191],"Then,":[192],"utterance-level":[193],"from":[195],"both":[196],"workflows":[197],"aligned":[199],"Contrastive":[202],"Projection":[203],"Alignment":[205],"framework,":[206],"followed":[207],"shallow":[210],"attention":[211],"fusion":[212],"head":[213],"SER":[215,226],"classification.":[216],"shown":[219],"be":[221],"extensive":[228],"evaluations":[229],"across":[230],"14":[231],"datasets,":[232],"10":[233],"languages,":[234],"6":[236],"backbones,":[237],"its":[239],"practical":[240],"efficacy":[241],"validated":[243],"real-time":[245],"deployment":[246],"platform.":[251]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-18T00:00:00"}