{"id":"https://openalex.org/W3198074494","doi":"https://doi.org/10.1145/3474085.3475700","title":"Armor","display_name":"Armor","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3198074494","doi":"https://doi.org/10.1145/3474085.3475700","mag":"3198074494"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.12973","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Songhe Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songhe Wang","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zheng Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Bao","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jingtong E","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingtong E","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.1813,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.35850359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5583","last_page":"5590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.998199999332428,"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":0.998199999332428,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9980000257492065,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6000000238418579},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5468999743461609},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5382999777793884},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.48429998755455017},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.46720001101493835}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6000000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5820000171661377},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5468999743461609},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4187999963760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41749998927116394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3736000061035156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27140000462532043}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3474085.3475700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2108.12973","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.12973","pdf_url":"https://arxiv.org/pdf/2108.12973","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.12973","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.12973","pdf_url":"https://arxiv.org/pdf/2108.12973","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"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":7,"referenced_works":["https://openalex.org/W1979720880","https://openalex.org/W2038333915","https://openalex.org/W2101105183","https://openalex.org/W2159306398","https://openalex.org/W2772474126","https://openalex.org/W2898827701","https://openalex.org/W3092879656"],"related_works":[],"abstract_inverted_index":{"Objective":[0],"evaluation":[1,21],"(OE)":[2],"is":[3,39,110,156],"essential":[4],"to":[5,13,43,97,175],"artificial":[6],"music,":[7],"but":[8,27],"it's":[9],"often":[10],"very":[11],"hard":[12],"determine":[14],"the":[15,45,99,104,111,129,136,176],"quality":[16],"of":[17,47,101,106,131,138],"OEs.":[18,48,102],"Hitherto,":[19],"subjective":[20],"(SE)":[22],"remains":[23],"reliable":[24],"and":[25,57,80,92,114,125,135,163],"prevailing":[26],"suffers":[28],"inevitable":[29],"disadvantages":[30],"that":[31,61,117,154,166],"OEs":[32,66,79],"may":[33],"overcome.":[34],"Therefore,":[35],"a":[36,55,142,158],"meta-evaluation":[37,90],"system":[38],"necessary":[40],"for":[41,78,128],"designers":[42],"test":[44,76],"effectiveness":[46,100],"In":[49],"this":[50,63],"paper,":[51],"we":[52,72,152],"present":[53],"Armor,":[54],"complex":[56],"cross-domain":[58],"benchmark":[59],"dataset":[60],"serves":[62],"purpose.":[64],"Since":[65],"should":[67],"correlate":[68],"with":[69],"human":[70,81],"judgment,":[71],"provide":[73,88],"music":[74,134,140],"as":[75,84,141],"cases":[77],"judgment":[82,174],"scores":[83],"touchstones.":[85],"We":[86],"also":[87],"two":[89],"scenarios":[91],"their":[93],"corresponding":[94],"testing":[95],"methods":[96,148],"assess":[98],"To":[103],"best":[105],"our":[107,150],"knowledge,":[108],"Armor":[109],"first":[112],"comprehensive":[113],"rigorous":[115],"framework":[116],"future":[118],"works":[119],"could":[120],"follow,":[121],"take":[122],"example":[123],"by,":[124],"improve":[126],"upon":[127],"task":[130],"evaluating":[132],"computer-generated":[133],"field":[137],"computational":[139],"whole.":[143],"By":[144],"analyzing":[145],"different":[146],"OE":[147],"on":[149],"dataset,":[151],"observe":[153],"there":[155],"still":[157],"huge":[159],"gap":[160],"between":[161],"SE":[162],"OE,":[164],"meaning":[165],"hard-coded":[167],"algorithms":[168],"are":[169],"far":[170],"from":[171],"catching":[172],"human's":[173],"music.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2021-09-13T00:00:00"}
