{"id":"https://openalex.org/W7161308543","doi":"https://doi.org/10.1016/j.ecoinf.2026.103816","title":"A noise-masking marine mammal sound classification method via multi-task learning","display_name":"A noise-masking marine mammal sound classification method via multi-task learning","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161308543","doi":"https://doi.org/10.1016/j.ecoinf.2026.103816"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2026.103816","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103816","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Ecological Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.ecoinf.2026.103816","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034276808","display_name":"Xuchen Wang","orcid":"https://orcid.org/0009-0004-7417-5011"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchen Wang","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":"https://orcid.org/0009-0004-7417-5011","affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428791","display_name":"Yougan Chen","orcid":"https://orcid.org/0000-0001-8345-1226"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yougan Chen","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":"https://orcid.org/0000-0001-8345-1226","affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045990857","display_name":"Kunyun Du","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunyun Du","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":"https://orcid.org/0009-0006-3335-8465","affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136271829","display_name":"Yihao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihao Zhao","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":"https://orcid.org/0009-0002-5402-9696","affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136194729","display_name":"Yanhan Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhan Dong","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":"https://orcid.org/0009-0001-5111-3123","affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009419041","display_name":"Shen\u2019ao Tu","orcid":"https://orcid.org/0009-0001-9735-4512"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen\u2019ao Tu","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":"https://orcid.org/0009-0001-9735-4512","affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130973719","display_name":"Yi Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Tao","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":"https://orcid.org/0000-0002-1728-4586","affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136192782","display_name":"Xiaomei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomei Xu","raw_affiliation_strings":["Xiamen University, China"],"raw_orcid":"https://orcid.org/0000-0001-5677-2497","affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100428791"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":{"value":2510,"currency":"USD","value_usd":2510},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89084945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":null,"first_page":"103816","last_page":"103816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.27799999713897705,"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":0.27799999713897705,"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":0.1264999955892563,"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/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.10440000146627426,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/marine-mammal","display_name":"Marine mammal","score":0.5026999711990356},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.4399999976158142},{"id":"https://openalex.org/keywords/sound-production","display_name":"Sound production","score":0.3637000024318695},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.3052000105381012},{"id":"https://openalex.org/keywords/bioacoustics","display_name":"Bioacoustics","score":0.3018999993801117}],"concepts":[{"id":"https://openalex.org/C2776384079","wikidata":"https://www.wikidata.org/wiki/Q382441","display_name":"Marine mammal","level":2,"score":0.5026999711990356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4681999981403351},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.4399999976158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41830000281333923},{"id":"https://openalex.org/C2992428333","wikidata":"https://www.wikidata.org/wiki/Q11461","display_name":"Sound production","level":2,"score":0.3637000024318695},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31709998846054077},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.30809998512268066},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C34951282","wikidata":"https://www.wikidata.org/wiki/Q864191","display_name":"Bioacoustics","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28380000591278076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C2778234026","wikidata":"https://www.wikidata.org/wiki/Q7377","display_name":"Mammal","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.2655999958515167}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.ecoinf.2026.103816","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103816","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Ecological Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8172965c78024c0d98a32fbe106c33f6","is_oa":true,"landing_page_url":"https://doaj.org/article/8172965c78024c0d98a32fbe106c33f6","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ecological Informatics, Vol 96, Iss , Pp 103816- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2026.103816","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103816","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Ecological Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","score":0.7236263155937195,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2970226357","https://openalex.org/W2999187172","https://openalex.org/W3011702533","https://openalex.org/W4301396727","https://openalex.org/W4303980451","https://openalex.org/W4310296330","https://openalex.org/W4319727059","https://openalex.org/W4362557901","https://openalex.org/W4365140193","https://openalex.org/W4392511149","https://openalex.org/W4399221926","https://openalex.org/W4399400987","https://openalex.org/W4399914636","https://openalex.org/W4400086480","https://openalex.org/W4400679783","https://openalex.org/W4403392149","https://openalex.org/W4404634400","https://openalex.org/W4405073891","https://openalex.org/W4412184408","https://openalex.org/W4415667093","https://openalex.org/W4416723482","https://openalex.org/W7081958577","https://openalex.org/W7134140909"],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"noise":[1,13,82,112,157,193,205,245],"pollution":[2],"hinders":[3],"passive":[4],"acoustic":[5,70],"monitoring":[6],"(PAM)":[7,234],"of":[8,119],"marine":[9,40,173],"mammals,":[10],"as":[11,47],"ambient":[12],"masks":[14],"target":[15],"signals":[16],"and":[17,44,50,81,94,204,229],"degrades":[18],"classification":[19,43,46,188],"performance.":[20],"To":[21],"address":[22],"this,":[23],"we":[24],"propose":[25],"MT-MaskNet,":[26,165],"an":[27,166,185],"end-to-end":[28,167],"multi-task":[29,168],"learning":[30,169],"(MTL)":[31],"framework":[32,37,170],"based":[33],"on":[34,133,226],"ResNet18.":[35],"This":[36,89,123],"jointly":[38],"optimizes":[39],"mammal":[41,174],"sound":[42,80,175,203],"noise-type":[45,187],"the":[48,56,86,99,148,215,239],"primary":[49,100,216],"auxiliary":[51,57,186],"tasks,":[52],"respectively.":[53],"Guided":[54],"by":[55,184],"branch,":[58,189],"a":[59,74,103,116,139,179,197,253],"mid-level":[60,180],"gating":[61,87,149,181,240],"mechanism":[62,150,241],"dynamically":[63],"suppresses":[64],"noise-related":[65],"activations":[66],"while":[67,210],"preserving":[68],"salient":[69],"patterns.":[71],"We":[72],"adopt":[73],"two-stage":[75,198],"training":[76,199],"strategy":[77,200],"to":[78,98,145,201,214],"decouple":[79,202],"representations":[83],"before":[84],"fine-tuning":[85],"module.":[88],"approach":[90],"mitigates":[91],"negative":[92,208],"transfer":[93,97,209,213],"promotes":[95],"positive":[96,212],"task.":[101,217],"On":[102],"synthesized":[104],"dataset":[105],"featuring":[106],"three":[107],"dolphin":[108],"species":[109],"with":[110,159,251],"realistic":[111],"superposition,":[113],"MT-MaskNet":[114],"achieved":[115],"mean":[117],"accuracy":[118,141],"95.00%":[120],"\u00b1":[121],"0.8%.":[122],"performance":[124],"significantly":[125,222],"outperformed":[126],"single-task":[127,224],"baselines":[128,225],"(p":[129],"=":[130],"0.0018).":[131],"Evaluations":[132],"real-world":[134,230],"PAM":[135],"recordings":[136],"further":[137],"demonstrated":[138],"marked":[140],"improvement":[142],"from":[143],"44.00%":[144],"73.75%.":[146],"Overall,":[147],"enables":[151],"robust":[152,248],"feature":[153,249],"enhancement":[154,250],"through":[155],"coarse-grained":[156,244],"indication":[158],"minimal":[160],"computational":[161],"overhead.":[162,256],"\u2022":[163,177,195,218,236],"Proposes":[164],"for":[171,190],"noise-robust":[172],"classification.":[176],"Introduces":[178],"mechanism,":[182],"guided":[183],"adaptive":[191],"feature-level":[192],"suppression.":[194],"Employs":[196],"representations,":[206],"mitigating":[207],"promoting":[211],"Achieves":[219],"superior":[220],"performance,":[221],"outperforming":[223],"both":[227],"synthetic":[228],"Passive":[231],"Acoustic":[232],"Monitoring":[233],"datasets.":[235],"Demonstrates":[237],"that":[238],"primarily":[242],"provides":[243],"indication,":[246],"enabling":[247],"only":[252],"modest":[254],"parameter":[255]},"counts_by_year":[],"updated_date":"2026-05-25T08:39:21.599409","created_date":"2026-05-16T00:00:00"}