{"id":"https://openalex.org/W4408222464","doi":"https://doi.org/10.1109/lsp.2025.3549008","title":"Improving Bird Vocalization Recognition in Open-Set Cross-Corpus Scenarios With Semantic Feature Reconstruction and Dual Strategy Scoring","display_name":"Improving Bird Vocalization Recognition in Open-Set Cross-Corpus Scenarios With Semantic Feature Reconstruction and Dual Strategy Scoring","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408222464","doi":"https://doi.org/10.1109/lsp.2025.3549008"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3549008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3549008","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","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/A5002497635","display_name":"Jiangjian Xie","orcid":"https://orcid.org/0000-0003-1367-324X"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangjian Xie","raw_affiliation_strings":["School of Technology and the State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1367-324X","affiliations":[{"raw_affiliation_string":"School of Technology and the State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yingqi Wang","orcid":"https://orcid.org/0009-0002-6042-1205"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingqi Wang","raw_affiliation_strings":["School of Technology and the State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-6042-1205","affiliations":[{"raw_affiliation_string":"School of Technology and the State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinyuan Qian","orcid":"https://orcid.org/0000-0002-9511-6713"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Qian","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9511-6713","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089221278","display_name":"Junguo Zhang","orcid":"https://orcid.org/0000-0002-2267-786X"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junguo Zhang","raw_affiliation_strings":["School of Technology and the State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2267-786X","affiliations":[{"raw_affiliation_string":"School of Technology and the State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn W. Schuller","raw_affiliation_strings":["GLAM, Imperial College London, London, U.K","GLAM, Imperial College London, 180 Queen&#x0027;s Gate, London, SW7 2AZ, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6478-8699","affiliations":[{"raw_affiliation_string":"GLAM, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"GLAM, Imperial College London, 180 Queen&#x0027;s Gate, London, SW7 2AZ, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2045,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8528746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"32","issue":null,"first_page":"1515","last_page":"1519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9498000144958496,"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"}},{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9186999797821045,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.750811755657196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6201034188270569},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5585228800773621},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5427839756011963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5206581950187683},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4582686722278595},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.441361665725708},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4114747941493988},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39528143405914307},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35586607456207275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10052090883255005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750811755657196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6201034188270569},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5585228800773621},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5427839756011963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5206581950187683},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4582686722278595},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.441361665725708},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4114747941493988},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39528143405914307},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35586607456207275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10052090883255005},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2025.3549008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3549008","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1796058","is_oa":false,"landing_page_url":"https://mediatum.ub.tum.de/1796058","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7520828717","display_name":null,"funder_award_id":"5252014","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8889745605","display_name":null,"funder_award_id":"62303063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1589137271","https://openalex.org/W2018289562","https://openalex.org/W2341673976","https://openalex.org/W2807683780","https://openalex.org/W2898258711","https://openalex.org/W2947224107","https://openalex.org/W3087586998","https://openalex.org/W3104736546","https://openalex.org/W3115571254","https://openalex.org/W4220728550","https://openalex.org/W4226051760","https://openalex.org/W4280651134","https://openalex.org/W4282978184","https://openalex.org/W4284713852","https://openalex.org/W4297510550","https://openalex.org/W4310075934","https://openalex.org/W4386095380","https://openalex.org/W4386226099","https://openalex.org/W4388964001","https://openalex.org/W4390812911","https://openalex.org/W6784802156","https://openalex.org/W6802159084"],"related_works":["https://openalex.org/W2364155688","https://openalex.org/W2046522763","https://openalex.org/W2366916257","https://openalex.org/W2375847997","https://openalex.org/W2072836406","https://openalex.org/W2391772185","https://openalex.org/W2061641547","https://openalex.org/W4386420450","https://openalex.org/W2355099127","https://openalex.org/W2361892564"],"abstract_inverted_index":{"Automated":[0],"recognition":[1,53,63,85],"of":[2,87],"bird":[3,148],"vocalizations":[4],"(BVs)":[5],"is":[6],"essential":[7],"for":[8,55,145],"biodiversity":[9],"monitoring":[10,14],"through":[11],"passive":[12],"acoustic":[13],"(PAM),":[15],"yet":[16],"deep":[17,101],"learning":[18],"(DL)":[19],"models":[20],"encounter":[21],"substantial":[22],"challenges":[23],"in":[24,30],"open":[25],"environments.":[26],"These":[27],"include":[28],"difficulties":[29],"detecting":[31],"unknown":[32,104],"classes,":[33],"extracting":[34],"species-specific":[35],"features,":[36],"and":[37,75,123],"achieving":[38],"robust":[39],"cross-corpus":[40,52,147],"recognition.":[41,150],"To":[42,82],"address":[43],"these":[44],"challenges,":[45],"this":[46],"letter":[47],"presents":[48],"a":[49,68,94,109,139],"DL-based":[50],"open-set":[51,62,146],"method":[54,129],"BVs":[56],"that":[57,71],"combines":[58],"feature":[59,80],"construction":[60],"with":[61],"(OSR)":[64],"techniques.":[65],"We":[66],"introduce":[67],"three-channel":[69],"spectrogram":[70],"integrates":[72],"both":[73],"amplitude":[74],"phase":[76],"information":[77],"to":[78,99],"enhance":[79],"representation.":[81],"improve":[83],"the":[84,118,131],"accuracy":[86,134],"known":[88],"classes":[89],"across":[90],"corpora,":[91],"we":[92,107],"employ":[93],"class-specific":[95],"semantic":[96],"reconstruction":[97,124],"model":[98],"extract":[100],"features.":[102],"For":[103],"class":[105],"discrimination,":[106],"propose":[108],"Dual":[110],"Strategy":[111],"Coupling":[112],"Scoring":[113],"(DSCS)":[114],"mechanism,":[115],"which":[116],"synthesizes":[117],"log-likelihood":[119],"ratio":[120],"score":[121,126],"(LLRS)":[122],"error":[125],"(RES).":[127],"Our":[128],"achieves":[130],"highest":[132],"weighted":[133],"among":[135],"existing":[136],"approaches":[137],"on":[138],"public":[140],"dataset,":[141],"demonstrating":[142],"its":[143],"effectiveness":[144],"vocalization":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
