{"id":"https://openalex.org/W4415433804","doi":"https://doi.org/10.21437/interspeech.2025-288","title":"Benchmarking Time-localized Explanations for Audio Classification Models","display_name":"Benchmarking Time-localized Explanations for Audio Classification Models","publication_year":2025,"publication_date":"2025-08-17","ids":{"openalex":"https://openalex.org/W4415433804","doi":"https://doi.org/10.21437/interspeech.2025-288"},"language":null,"primary_location":{"id":"doi:10.21437/interspeech.2025-288","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2025-288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.04391","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001392686","display_name":"C. D. Ferr\u00edn Bola\u00f1os","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cecilia Bola\u00f1os","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077063899","display_name":"Leonardo Pepino","orcid":"https://orcid.org/0000-0001-5037-3700"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leonardo Pepino","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114082177","display_name":"Martin Meza","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Meza","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056267912","display_name":"Luciana Ferrer","orcid":"https://orcid.org/0000-0002-0426-8683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luciana Ferrer","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001392686"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37119426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9911999702453613,"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/spurious-relationship","display_name":"Spurious relationship","score":0.7904999852180481},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7720999717712402},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6852999925613403},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6610999703407288},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.41659998893737793},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.396699994802475}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7904999852180481},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7720999717712402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190999984741211},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6852999925613403},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6610999703407288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519999861717224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5134999752044678},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.30309998989105225},{"id":"https://openalex.org/C2777877512","wikidata":"https://www.wikidata.org/wiki/Q1116097","display_name":"Common ground","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26179999113082886}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2025-288","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2025-288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.04391","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.04391","pdf_url":"https://arxiv.org/pdf/2506.04391","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.04391","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.04391","pdf_url":"https://arxiv.org/pdf/2506.04391","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Most":[0],"modern":[1],"approaches":[2,121],"for":[3,18,69,90,93,107,122,142],"audio":[4,94],"processing":[5],"are":[6],"opaque,":[7],"in":[8,41,55,127],"the":[9,31,45,48,56,60,137,140],"sense":[10],"that":[11,97],"they":[12],"do":[13],"not":[14],"provide":[15],"an":[16],"explanation":[17,78],"their":[19],"decisions.":[20],"For":[21],"this":[22,84,113],"reason,":[23],"various":[24,120],"methods":[25],"have":[26],"been":[27],"proposed":[28],"to":[29,79,115,131],"explain":[30],"outputs":[32],"generated":[33],"by":[34],"these":[35],"models.":[36],"Good":[37],"explanations":[38,63,92,141],"can":[39],"result":[40],"interesting":[42],"insights":[43],"about":[44],"data":[46],"or":[47],"model,":[49],"as":[50,52,81,104],"well":[51],"increase":[53],"trust":[54],"system.":[57],"Unfortunately,":[58],"evaluating":[59],"quality":[61],"of":[62,101,139],"is":[64,73],"far":[65],"from":[66],"trivial":[67],"since,":[68],"most":[70],"tasks,":[71],"there":[72],"no":[74],"clear":[75],"ground":[76,108],"truth":[77,109],"use":[80,112],"reference.":[82],"In":[83],"work,":[85],"we":[86,135],"propose":[87],"a":[88,105],"benchmark":[89,114],"time-localized":[91],"classification":[95],"models":[96],"uses":[98],"time":[99],"annotations":[100],"target":[102],"events":[103],"proxy":[106],"explanations.":[110,133],"We":[111],"systematically":[116],"optimize":[117],"and":[118],"compare":[119],"model-agnostic":[123],"post-hoc":[124],"explanation,":[125],"obtaining,":[126],"some":[128],"cases,":[129],"close":[130],"perfect":[132],"Finally,":[134],"illustrate":[136],"utility":[138],"uncovering":[143],"spurious":[144],"correlations.":[145]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-24T00:00:00"}