{"id":"https://openalex.org/W7134956776","doi":"https://doi.org/10.48550/arxiv.2603.09820","title":"EmoSURA: Towards Accurate Evaluation of Detailed and Long-Context Emotional Speech Captions","display_name":"EmoSURA: Towards Accurate Evaluation of Detailed and Long-Context Emotional Speech Captions","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134956776","doi":"https://doi.org/10.48550/arxiv.2603.09820"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.09820","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09820","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.09820","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128793860","display_name":"Xin Jing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128745323","display_name":"Andreas Triantafyllopoulos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Triantafyllopoulos, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128722709","display_name":"Jiadong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jiadong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010754413","display_name":"Shahin Amiriparian","orcid":"https://orcid.org/0000-0002-1129-8223"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amiriparian, Shahin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128697540","display_name":"Jun Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128753073","display_name":"Bj\u00f6rn Schuller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schuller, Bj\u00f6rn","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":0.31679999828338623,"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":0.31679999828338623,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.27790001034736633,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.15620000660419464,"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/closed-captioning","display_name":"Closed captioning","score":0.6000999808311462},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4348999857902527},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.35040000081062317},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.3276999890804291},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.3158000111579895},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.27790001034736633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221999764442444},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.6000999808311462},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5532000064849854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49959999322891235},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47099998593330383},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4348999857902527},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29319998621940613},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C99209842","wikidata":"https://www.wikidata.org/wiki/Q643696","display_name":"Speech perception","level":3,"score":0.2513999938964844},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.09820","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09820","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.09820","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09820","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.41119465231895447,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2],"speech":[3,99],"captioning":[4],"models":[5],"have":[6],"enabled":[7],"the":[8,18,61,97,104],"generation":[9],"of":[10,20,106],"rich,":[11],"fine-grained":[12],"captions":[13,22,72,138],"for":[14,136],"emotional":[15,84],"speech.":[16],"However,":[17],"evaluation":[19,57,108],"such":[21],"remains":[23],"a":[24,55,113,125,132],"critical":[25],"bottleneck:":[26],"traditional":[27,141],"N-gram":[28],"metrics":[29],"fail":[30],"to":[31,66,92,140,148,151],"capture":[32],"semantic":[33],"nuances,":[34],"while":[35],"LLM":[36],"judges":[37],"often":[38],"suffer":[39],"from":[40,63],"reasoning":[41],"inconsistency":[42],"and":[43,86,116],"context-collapse":[44],"when":[45],"processing":[46],"long-form":[47,137],"descriptions.":[48],"In":[49],"this":[50],"work,":[51],"we":[52,102],"propose":[53],"EmoSURA,":[54],"novel":[56],"framework":[58],"that":[59,122],"shifts":[60],"paradigm":[62],"holistic":[64],"scoring":[65],"atomic":[67],"verification.":[68],"EmoSURA":[69,123],"decomposes":[70],"complex":[71],"into":[73],"Atomic":[74],"Perceptual":[75],"Units,":[76],"which":[77,143],"are":[78],"self-contained":[79],"statements":[80],"regarding":[81],"vocal":[82],"or":[83],"attributes,":[85],"employs":[87],"an":[88],"audio-grounded":[89],"verification":[90],"mechanism":[91],"validate":[93],"each":[94],"unit":[95],"against":[96],"raw":[98],"signal.":[100],"Furthermore,":[101],"address":[103],"scarcity":[105],"standardized":[107],"resources":[109],"by":[110],"introducing":[111],"SURABench,":[112],"carefully":[114],"balanced":[115],"stratified":[117],"benchmark.":[118],"Our":[119],"experiments":[120],"show":[121],"achieves":[124],"positive":[126],"correlation":[127],"with":[128],"human":[129],"judgments,":[130],"offering":[131],"more":[133],"reliable":[134],"assessment":[135],"compared":[139],"metrics,":[142],"demonstrated":[144],"negative":[145],"correlations":[146],"due":[147],"their":[149],"sensitivity":[150],"caption":[152],"length.":[153]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-12T00:00:00"}