{"id":"https://openalex.org/W4321192606","doi":"https://doi.org/10.1109/icce56470.2023.10043590","title":"Sound Event Detection Using EfficientNet-B2 with an Attentional Pyramid Network","display_name":"Sound Event Detection Using EfficientNet-B2 with an Attentional Pyramid Network","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4321192606","doi":"https://doi.org/10.1109/icce56470.2023.10043590"},"language":"en","primary_location":{"id":"doi:10.1109/icce56470.2023.10043590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce56470.2023.10043590","pdf_url":null,"source":{"id":"https://openalex.org/S4363607959","display_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","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/A5100359891","display_name":"Ji Won Kim","orcid":"https://orcid.org/0000-0001-6680-2258"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji Won Kim","raw_affiliation_strings":["AI Graduate School, Gwangju Institude of Science and Techonology (GIST),Gwangju,Korea","AI Graduate School, Gwangju Institude of Science and Techonology (GIST), Gwangju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Graduate School, Gwangju Institude of Science and Techonology (GIST),Gwangju,Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"AI Graduate School, Gwangju Institude of Science and Techonology (GIST), Gwangju, Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028537246","display_name":"Geon Woo Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Geon Woo Lee","raw_affiliation_strings":["AI Graduate School, Gwangju Institude of Science and Techonology (GIST),Gwangju,Korea","AI Graduate School, Gwangju Institude of Science and Techonology (GIST), Gwangju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Graduate School, Gwangju Institude of Science and Techonology (GIST),Gwangju,Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"AI Graduate School, Gwangju Institude of Science and Techonology (GIST), Gwangju, Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038750471","display_name":"Chang\u2010Soo Park","orcid":"https://orcid.org/0000-0001-7924-4582"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang-Soo Park","raw_affiliation_strings":["School of EECS, Gwangju Institude of Science and Techonology (GIST),Gwangju,Korea","School of EECS, Gwangju Institude of Science and Techonology (GIST), Gwangju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECS, Gwangju Institude of Science and Techonology (GIST),Gwangju,Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"School of EECS, Gwangju Institude of Science and Techonology (GIST), Gwangju, Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085604883","display_name":"Hong Kook Kim","orcid":"https://orcid.org/0000-0002-0105-6693"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hong Kook Kim","raw_affiliation_strings":["School of EECS, Gwangju Institude of Science and Techonology (GIST),Gwangju,Korea","School of EECS, Gwangju Institude of Science and Techonology (GIST), Gwangju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECS, Gwangju Institude of Science and Techonology (GIST),Gwangju,Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"School of EECS, Gwangju Institude of Science and Techonology (GIST), Gwangju, Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":null,"apc_paid":null,"fwci":0.725,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65756795,"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":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.996999979019165,"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":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6511222124099731},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6293807029724121},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6162375807762146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5296708345413208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.520179271697998},{"id":"https://openalex.org/keywords/sed","display_name":"sed","score":0.4829391837120056},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46200770139694214},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3691365122795105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19650092720985413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6511222124099731},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6293807029724121},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6162375807762146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5296708345413208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.520179271697998},{"id":"https://openalex.org/C126707884","wikidata":"https://www.wikidata.org/wiki/Q305876","display_name":"sed","level":2,"score":0.4829391837120056},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46200770139694214},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3691365122795105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19650092720985413},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce56470.2023.10043590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce56470.2023.10043590","pdf_url":null,"source":{"id":"https://openalex.org/S4363607959","display_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321317","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3015190346","https://openalex.org/W3033907960","https://openalex.org/W3169030202","https://openalex.org/W3205743929","https://openalex.org/W4289752563","https://openalex.org/W4309156401"],"related_works":["https://openalex.org/W3015099035","https://openalex.org/W2168996100","https://openalex.org/W3150280541","https://openalex.org/W1492529792","https://openalex.org/W2806455486","https://openalex.org/W2312327345","https://openalex.org/W2617367496","https://openalex.org/W2141836678","https://openalex.org/W4206776094","https://openalex.org/W3121197456"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,24,41,61,101,179],"sound":[4,97,146],"event":[5,147],"detection":[6,102,124,148],"(SED)":[7],"model":[8,37,57,119,157,177],"that":[9,64,141],"uses":[10],"EfficientNet-B2":[11,63,81],"and":[12,45,72,125,130,144,151,163],"an":[13],"attentional":[14],"pyramid":[15],"network":[16,103],"(APNet)":[17],"module":[18],"to":[19,29,49,95],"effectively":[20],"represent":[21],"information":[22],"from":[23,67,80],"multi-resolution":[25,76],"feature":[26,77,90],"map.":[27],"Compared":[28],"the":[30,34,50,68,85,116,123,142,154,169,175,187],"A2FPN-based":[31,170,188],"SED":[32,36,56,118,156,171,189],"model,":[33],"proposed":[35,52,55,117,155,176],"is":[38,58,65,92,120],"realized":[39],"with":[40],"reduced":[42],"computational":[43],"complexity":[44],"improved":[46],"performance":[47,114],"due":[48],"newly":[51],"APNet.":[53],"The":[54,88,113],"based":[59],"on":[60,122],"pre-trained":[62],"obtained":[66],"pretraining,":[69],"sampling,":[70],"labeling,":[71],"aggregation":[73],"framework.":[74],"Then,":[75],"maps":[78],"extracted":[79],"are":[82,158],"aggregated":[83,89],"by":[84,99,160],"APNet":[86],"module.":[87],"map":[91],"then":[93],"used":[94],"detect":[96],"events":[98,131],"using":[100],"mainly":[104],"composed":[105],"of":[106,115,127,153,168,182],"two":[107],"bidirectional":[108],"gated":[109],"recurrent":[110],"unit":[111],"layers.":[112],"evaluated":[121],"classification":[126],"acoustic":[128],"scenes":[129],"(DCASE)":[132],"2022":[133],"Challenge":[134],"Task":[135],"4.":[136],"Consequently,":[137],"it":[138],"was":[139],"shown":[140],"F1-score":[143],"polyphonic":[145],"scores":[149],"1":[150],"2":[152],"higher":[159],"0.4%,":[161],"0.009,":[162],"0.014,":[164],"respectively,":[165],"than":[166,186],"those":[167],"model.":[172,190],"In":[173],"addition,":[174],"had":[178],"smaller":[180],"number":[181],"floating":[183],"point":[184],"operations":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}