{"id":"https://openalex.org/W4416251225","doi":"https://doi.org/10.1109/waspaa66052.2025.11230946","title":"Context-Aware Query Refinement for Target Sound Extraction: Handling Partially Matched Queries","display_name":"Context-Aware Query Refinement for Target Sound Extraction: Handling Partially Matched Queries","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W4416251225","doi":"https://doi.org/10.1109/waspaa66052.2025.11230946"},"language":null,"primary_location":{"id":"doi:10.1109/waspaa66052.2025.11230946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa66052.2025.11230946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100920436","display_name":"Ryo Sato","orcid":"https://orcid.org/0009-0000-5367-8948"},"institutions":[{"id":"https://openalex.org/I4210115801","display_name":"SBI Pharmaceuticals (Japan)","ror":"https://ror.org/028mhrr87","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210115801"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Sato","raw_affiliation_strings":["RION Co., Ltd.,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RION Co., Ltd.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210115801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120592633","display_name":"Chiho Haruta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115801","display_name":"SBI Pharmaceuticals (Japan)","ror":"https://ror.org/028mhrr87","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210115801"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chiho Haruta","raw_affiliation_strings":["RION Co., Ltd.,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RION Co., Ltd.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210115801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002568774","display_name":"Nobuhiko Hiruma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115801","display_name":"SBI Pharmaceuticals (Japan)","ror":"https://ror.org/028mhrr87","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210115801"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuhiko Hiruma","raw_affiliation_strings":["RION Co., Ltd.,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RION Co., Ltd.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210115801"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009991655","display_name":"Keisuke Imoto","orcid":"https://orcid.org/0000-0002-0703-8293"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Imoto","raw_affiliation_strings":["Kyoto University,Kyoto,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University,Kyoto,Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.42142184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9740999937057495,"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":0.9740999937057495,"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":0.01209999993443489,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.003800000064074993,"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/robustness","display_name":"Robustness (evolution)","score":0.6855999827384949},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.593500018119812},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5741999745368958},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.567799985408783},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5458999872207642},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.45260000228881836},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.44119998812675476},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.4242999851703644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206000089645386},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6855999827384949},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.593500018119812},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.567799985408783},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5458999872207642},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.45260000228881836},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.4242999851703644},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.39169999957084656},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.35929998755455017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3578999936580658},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35659998655319214},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.35109999775886536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34619998931884766},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3133000135421753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C24755975","wikidata":"https://www.wikidata.org/wiki/Q4943354","display_name":"Boolean conjunctive query","level":5,"score":0.2750000059604645},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.26809999346733093}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/waspaa66052.2025.11230946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa66052.2025.11230946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2593116425","https://openalex.org/W2952218014","https://openalex.org/W2963610932","https://openalex.org/W3094806148","https://openalex.org/W3095263845","https://openalex.org/W3161158930","https://openalex.org/W3198575250","https://openalex.org/W4224871700","https://openalex.org/W4224914418","https://openalex.org/W4296070363","https://openalex.org/W4297841626","https://openalex.org/W4310873168","https://openalex.org/W4312865124","https://openalex.org/W4372348953","https://openalex.org/W4385822449","https://openalex.org/W4385823017","https://openalex.org/W4387835382","https://openalex.org/W4392903103","https://openalex.org/W4392903392","https://openalex.org/W4392904475","https://openalex.org/W4398151388","https://openalex.org/W4402117039","https://openalex.org/W4403126605","https://openalex.org/W4404317174","https://openalex.org/W4404577561","https://openalex.org/W4404609224","https://openalex.org/W4405934446","https://openalex.org/W4408351785","https://openalex.org/W4408352286","https://openalex.org/W4408355294","https://openalex.org/W4408356285"],"related_works":[],"abstract_inverted_index":{"Target":[0],"sound":[1,11,140],"extraction":[2],"(TSE)":[3],"is":[4],"the":[5,26,30,37,45,61,69,82,85,102,106,118,132,138,155,158],"task":[6],"of":[7],"extracting":[8],"a":[9,14],"target":[10],"specified":[12,80],"by":[13],"query":[15,38,124,133,171],"from":[16,131,151],"an":[17],"audio":[18],"mixture.":[19,46,62],"Much":[20],"prior":[21],"research":[22],"has":[23,109],"focused":[24],"on":[25,137],"problem":[27],"setting":[28],"under":[29,105,117,154,169],"Fully":[31,70],"Matched":[32,87],"Query":[33,72,88],"(FMQ)":[34],"condition,":[35,74,90,120,157],"where":[36,75,91],"specifies":[39],"only":[40,76],"active":[41,93],"sounds":[42,55,78,96],"present":[43,59],"in":[44,48,60,81],"However,":[47],"real-world":[49],"scenarios,":[50],"queries":[51],"may":[52],"include":[53],"inactive":[54,77,95,129],"that":[56,146],"are":[57,79,97],"not":[58],"This":[63,126],"leads":[64],"to":[65],"scenarios":[66],"such":[67],"as":[68],"Unmatched":[71],"(FUQ)":[73],"query,":[83],"and":[84,94,165],"Partially":[86],"(PMQ)":[89],"both":[92],"specified.":[98],"Among":[99],"these":[100],"conditions,":[101],"performance":[103,152],"degradation":[104,153,164],"PMQ":[107,119,156],"condition":[108],"been":[110],"largely":[111],"overlooked.":[112],"To":[113],"achieve":[114],"robust":[115],"TSE":[116],"we":[121],"propose":[122],"context-aware":[123],"refinement.":[125],"method":[127,160],"eliminates":[128],"classes":[130],"during":[134],"inference":[135],"based":[136],"estimated":[139],"class":[141],"activity.":[142],"Experimental":[143],"results":[144],"demonstrate":[145],"while":[147],"conventional":[148],"methods":[149],"suffer":[150],"proposed":[159],"effectively":[161],"mitigates":[162],"this":[163],"achieves":[166],"high":[167],"robustness":[168],"diverse":[170],"conditions.":[172]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-14T00:00:00"}