{"id":"https://openalex.org/W7127638571","doi":"https://doi.org/10.48550/arxiv.2602.03817","title":"Adaptive Evidence Weighting for Audio-Spatiotemporal Fusion","display_name":"Adaptive Evidence Weighting for Audio-Spatiotemporal Fusion","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127638571","doi":"https://doi.org/10.48550/arxiv.2602.03817"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.03817","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/A5125092949","display_name":"Oscar Ovanger","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ovanger, Oscar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125097887","display_name":"Levi Harris","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harris, Levi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005030378","display_name":"Timothy H. Keitt","orcid":"https://orcid.org/0000-0002-4587-1083"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keitt, Timothy H.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5125092949"],"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/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9218999743461609,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9218999743461609,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.04490000009536743,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/discriminative-model","display_name":"Discriminative model","score":0.6399000287055969},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5878999829292297},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5784000158309937},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5665000081062317},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5074999928474426},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5055999755859375},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4212999939918518},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4011000096797943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478999853134155},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6399000287055969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6237999796867371},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5878999829292297},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5784000158309937},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5665000081062317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5568000078201294},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5074999928474426},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4212999939918518},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3693999946117401},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.349700003862381},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3328999876976013},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3287000060081482},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C2992280869","wikidata":"https://www.wikidata.org/wiki/Q331065","display_name":"Zebra finch","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.03817","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.2602.03817","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03817","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.2602.03817","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":0.6877617835998535,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Many":[0],"machine":[1],"learning":[2],"systems":[3],"have":[4,61],"access":[5,62],"to":[6,63],"multiple":[7],"sources":[8,18],"of":[9,106,131,181],"evidence":[10,54,82],"for":[11],"the":[12,37,104,119,129],"same":[13],"prediction":[14],"target,":[15],"yet":[16],"these":[17],"often":[19],"differ":[20],"in":[21,56,165],"reliability":[22,105],"and":[23,40,47,111,126,151,156,173],"informativeness":[24,112],"across":[25],"inputs.":[26],"In":[27],"bioacoustic":[28],"classification,":[29],"species":[30],"identity":[31],"may":[32],"be":[33],"inferred":[34],"both":[35],"from":[36,41,109],"acoustic":[38],"signal":[39],"spatiotemporal":[42,94],"context":[43],"such":[44],"as":[45,122],"location":[46],"season;":[48],"while":[49],"Bayesian":[50],"inference":[51],"motivates":[52],"multiplicative":[53],"combination,":[55],"practice":[57],"we":[58],"typically":[59],"only":[60],"discriminative":[64],"predictors":[65],"rather":[66],"than":[67],"calibrated":[68],"generative":[69],"models.":[70],"We":[71,167],"introduce":[72],"\\textbf{F}usion":[73],"under":[74],"\\textbf{IN}dependent":[75],"\\textbf{C}onditional":[76],"\\textbf{H}ypotheses":[77],"(\\textbf{FINCH}),":[78],"an":[79,140],"adaptive":[80],"log-linear":[81],"fusion":[83,116,150],"framework":[84],"that":[85,102],"integrates":[86],"a":[87,92,98,123,135,184],"pre-trained":[88],"audio":[89],"classifier":[90,121],"with":[91,139],"structured":[93],"predictor.":[95],"FINCH":[96,146],"learns":[97],"per-sample":[99],"gating":[100],"function":[101],"estimates":[103],"contextual":[107,132,161],"information":[108,162],"uncertainty":[110],"statistics.":[113],"The":[114],"resulting":[115],"family":[117],"\\emph{contains}":[118],"audio-only":[120,142,152],"special":[124],"case":[125],"explicitly":[127],"bounds":[128],"influence":[130],"evidence,":[133],"yielding":[134],"risk-contained":[136],"hypothesis":[137],"class":[138],"interpretable":[141],"fallback.":[143],"Across":[144],"benchmarks,":[145],"consistently":[147],"outperforms":[148],"fixed-weight":[149],"baselines,":[153],"improving":[154],"robustness":[155],"error":[157],"trade-offs":[158],"even":[159],"when":[160],"is":[163,190],"weak":[164],"isolation.":[166],"achieve":[168],"state-of-the-art":[169],"performance":[170,177],"on":[171,178],"CBI":[172],"competitive":[174],"or":[175],"improved":[176],"several":[179],"subsets":[180],"BirdSet":[182],"using":[183],"lightweight,":[185],"interpretable,":[186],"evidence-based":[187],"approach.":[188],"Code":[189],"available:":[191],"\\texttt{\\href{https://anonymous.4open.science/r/birdnoise-85CD/README.md}{anonymous-repository}}":[192]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-06T00:00:00"}