{"id":"https://openalex.org/W4404187300","doi":"https://doi.org/10.1186/s13634-024-01181-9","title":"QiandaoEar22: a high-quality noise dataset for identifying specific ship from multiple underwater acoustic targets using ship-radiated noise","display_name":"QiandaoEar22: a high-quality noise dataset for identifying specific ship from multiple underwater acoustic targets using ship-radiated noise","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4404187300","doi":"https://doi.org/10.1186/s13634-024-01181-9"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-024-01181-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01181-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01181-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01181-9","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102214773","display_name":"Xiaoyang Du","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Du","raw_affiliation_strings":["Shanghai Acoustics Laboratory, Chinese Academy of Sciences, Jiading District, Shanghai, 201815, China","University of Chinese Academy of Sciences, Haidian District, Beijing, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Acoustics Laboratory, Chinese Academy of Sciences, Jiading District, Shanghai, 201815, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Haidian District, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055449717","display_name":"Feng Hong","orcid":"https://orcid.org/0000-0002-8727-4228"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Hong","raw_affiliation_strings":["Shanghai Acoustics Laboratory, Chinese Academy of Sciences, Jiading District, Shanghai, 201815, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Acoustics Laboratory, Chinese Academy of Sciences, Jiading District, Shanghai, 201815, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055449717"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099069"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":3.9155,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.9459139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10659","display_name":"Marine animal studies overview","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9779999852180481,"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/underwater","display_name":"Underwater","score":0.722453236579895},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6926527619361877},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.6897088289260864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5659290552139282},{"id":"https://openalex.org/keywords/underwater-acoustics","display_name":"Underwater acoustics","score":0.5301424264907837},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5042504072189331},{"id":"https://openalex.org/keywords/ambient-noise-level","display_name":"Ambient noise level","score":0.42529892921447754},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3225272297859192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21062421798706055},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18766841292381287},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.155695378780365},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10445517301559448},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.08271628618240356}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.722453236579895},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6926527619361877},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.6897088289260864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659290552139282},{"id":"https://openalex.org/C67467970","wikidata":"https://www.wikidata.org/wiki/Q1292425","display_name":"Underwater acoustics","level":3,"score":0.5301424264907837},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5042504072189331},{"id":"https://openalex.org/C205312793","wikidata":"https://www.wikidata.org/wiki/Q16002801","display_name":"Ambient noise level","level":3,"score":0.42529892921447754},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3225272297859192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21062421798706055},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18766841292381287},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.155695378780365},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10445517301559448},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.08271628618240356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":2,"locations":[{"id":"doi:10.1186/s13634-024-01181-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01181-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01181-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cdadf279ab554227849724acdbcd3d09","is_oa":false,"landing_page_url":"https://doaj.org/article/cdadf279ab554227849724acdbcd3d09","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-22 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-024-01181-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01181-9","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01181-9","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.4399999976158142,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G5514367002","display_name":null,"funder_award_id":"2021022","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404187300.pdf","grobid_xml":"https://content.openalex.org/works/W4404187300.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1973277164","https://openalex.org/W1991830455","https://openalex.org/W2001706848","https://openalex.org/W2007645738","https://openalex.org/W2012599869","https://openalex.org/W2081328926","https://openalex.org/W2089186389","https://openalex.org/W2126433110","https://openalex.org/W2194775991","https://openalex.org/W2326699523","https://openalex.org/W2466903746","https://openalex.org/W2555107250","https://openalex.org/W2612395950","https://openalex.org/W3024869864","https://openalex.org/W3043073152","https://openalex.org/W3109637960","https://openalex.org/W3115775989","https://openalex.org/W3172124183","https://openalex.org/W3207413899","https://openalex.org/W4319970148"],"related_works":["https://openalex.org/W1536598668","https://openalex.org/W2071751727","https://openalex.org/W1994247068","https://openalex.org/W1989468614","https://openalex.org/W3089497152","https://openalex.org/W4362661796","https://openalex.org/W2403025243","https://openalex.org/W4381330176","https://openalex.org/W2909324942","https://openalex.org/W216737315"],"abstract_inverted_index":{"Target":[0],"identification":[1,164],"of":[2,19,43,58,69,77,92,138,159,165,219],"ship-radiated":[3,60,93,148],"noise":[4,61,71,149,155],"is":[5,15],"a":[6,17,209],"crucial":[7],"area":[8],"in":[9,40,107,156],"underwater":[10,27,46,224,230],"target":[11,226,232],"recognition.":[12],"However,":[13],"there":[14],"currently":[16],"lack":[18],"multi-target":[20,48],"ship":[21],"datasets":[22],"that":[23,147],"accurately":[24],"represent":[25],"real-world":[26,59],"acoustic":[28,47,225,231],"conditions.":[29],"To":[30,73],"tackle":[31],"this":[32],"issue,":[33],"we":[34,79,116,175],"conducted":[35],"experimental":[36,82,144],"data":[37,62,122],"acquisition,":[38],"resulting":[39],"the":[41,75,90,96,104,108,113,121,136,162,168,194,217],"release":[42],"QiandaoEar22\u2014a":[44],"comprehensive":[45],"dataset.":[49],"This":[50],"dataset":[51],"encompasses":[52],"9":[53],"h":[54,65],"and":[55,63,66,123,134,141,179,184,198,229],"28":[56],"min":[57,68],"21":[64],"58":[67],"background":[70,154],"data.":[72,111],"demonstrate":[74],"availability":[76],"QiandaoEar22,":[78],"executed":[80],"two":[81],"tasks.":[83],"The":[84,143],"first":[85],"task":[86,98],"focuses":[87],"on":[88],"assessing":[89],"presence":[91],"noise,":[94],"while":[95],"second":[97],"involves":[99],"identifying":[100],"specific":[101,163],"ships":[102],"within":[103],"recognized":[105],"targets":[106],"multi-ship":[109],"mixed":[110],"In":[112],"latter":[114],"task,":[115],"extracted":[117],"eight":[118],"features":[119,140],"from":[120,153],"employed":[124],"six":[125],"deep":[126],"learning":[127],"networks":[128],"for":[129,211],"classification,":[130],"aiming":[131],"to":[132,222],"evaluate":[133],"compare":[135],"performance":[137],"various":[139],"networks.":[142],"results":[145],"reveal":[146],"can":[150,188],"be":[151],"identified":[152],"over":[157],"99%":[158],"cases.":[160],"For":[161],"individual":[166],"ships,":[167],"optimal":[169],"recognition":[170,191,233],"accuracy":[171],"achieves":[172],"99.56%.":[173],"Finally,":[174],"found":[176],"using":[177],"spectrum":[178],"MFCC":[180],"as":[181,186],"feature":[182],"inputs":[183],"DenseNet":[185],"classifier":[187],"achieve":[189],"excellent":[190],"performance.":[192],"Considering":[193],"computational":[195],"efficiency,":[196],"CRNN":[197],"ECAPA-TDNN":[199],"are":[200],"also":[201,215],"good":[202],"choices.":[203],"Our":[204],"work":[205],"not":[206],"only":[207],"establishes":[208],"benchmark":[210],"algorithm":[212],"evaluation":[213],"but":[214],"inspires":[216],"development":[218],"innovative":[220],"methods":[221],"enhance":[223],"detection":[227],"(UATD)":[228],"(UATR).":[234]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}