{"id":"https://openalex.org/W3017689298","doi":"https://doi.org/10.1109/lsp.2020.2988199","title":"Amphibian Sounds Generating Network Based on Adversarial Learning","display_name":"Amphibian Sounds Generating Network Based on Adversarial Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3017689298","doi":"https://doi.org/10.1109/lsp.2020.2988199","mag":"3017689298"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2988199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2988199","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/A5100750094","display_name":"Sangwook Park","orcid":"https://orcid.org/0000-0002-6817-4846"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sangwook Park","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038788686","display_name":"Mounya Elhilali","orcid":"https://orcid.org/0000-0003-2597-738X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mounya Elhilali","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000970","display_name":"David K. Han","orcid":"https://orcid.org/0000-0001-5055-5408"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David K. Han","raw_affiliation_strings":["U.S. Army Research Laboratory, Adelphi, MD, USA"],"affiliations":[{"raw_affiliation_string":"U.S. Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026204977","display_name":"Hanseok Ko","orcid":"https://orcid.org/0000-0002-8744-4514"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hanseok Ko","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100750094"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59887449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"27","issue":null,"first_page":"640","last_page":"644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"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":0.9993000030517578,"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":0.998199999332428,"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":0.9891999959945679,"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/discriminator","display_name":"Discriminator","score":0.8584229946136475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7989305257797241},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5939361453056335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5497409105300903},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5377187132835388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45927128195762634},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.44151028990745544},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4393848478794098},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4383174479007721},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4341243803501129},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41645127534866333}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8584229946136475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989305257797241},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5939361453056335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5497409105300903},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5377187132835388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45927128195762634},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.44151028990745544},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4393848478794098},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4383174479007721},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4341243803501129},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41645127534866333},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/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/lsp.2020.2988199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2988199","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1710476689","https://openalex.org/W1836465849","https://openalex.org/W1959608418","https://openalex.org/W2039261343","https://openalex.org/W2041925401","https://openalex.org/W2087505843","https://openalex.org/W2094328368","https://openalex.org/W2146950091","https://openalex.org/W2181347294","https://openalex.org/W2467604901","https://openalex.org/W2484698133","https://openalex.org/W2519091744","https://openalex.org/W2593414223","https://openalex.org/W2605195953","https://openalex.org/W2617573776","https://openalex.org/W2645805216","https://openalex.org/W2759973161","https://openalex.org/W2775795276","https://openalex.org/W2795144650","https://openalex.org/W2894295011","https://openalex.org/W2899310036","https://openalex.org/W2949117887","https://openalex.org/W2953141406","https://openalex.org/W2962879692","https://openalex.org/W2963226019","https://openalex.org/W2963709863","https://openalex.org/W2963845402","https://openalex.org/W4295274059","https://openalex.org/W4295521014","https://openalex.org/W4297817572","https://openalex.org/W4298289240","https://openalex.org/W6637242042","https://openalex.org/W6637568146","https://openalex.org/W6638667902","https://openalex.org/W6640963894","https://openalex.org/W6685777803","https://openalex.org/W6718140377","https://openalex.org/W6720208624","https://openalex.org/W6731344955","https://openalex.org/W6734564793","https://openalex.org/W6735913928","https://openalex.org/W6736155344","https://openalex.org/W6738706147","https://openalex.org/W6749904568","https://openalex.org/W6755257315","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2953246223","https://openalex.org/W4293320219","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2618858825","https://openalex.org/W2554314924","https://openalex.org/W2998859928","https://openalex.org/W3156863413","https://openalex.org/W4381885966","https://openalex.org/W4288256692"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"a":[3,36,50,55],"generative":[4,101],"network":[5,102],"based":[6],"on":[7,28,61],"adversarial":[8],"learning":[9,43],"for":[10,22,92,112],"synthesizing":[11],"short-time":[12],"audio":[13,77],"streams":[14,78],"and":[15,45,49,87,109],"investigates":[16],"the":[17,31,67,99],"effectiveness":[18],"of":[19,40],"data":[20,71,113],"augmentation":[21],"amphibian":[23],"call":[24],"sounds":[25,108],"classification.":[26],"Based":[27],"Fourier":[29],"analysis,":[30],"generator":[32],"is":[33,52,63,103],"designed":[34],"by":[35,54,81],"multi-layer":[37],"perceptron":[38],"composed":[39],"frequency":[41],"basis":[42],"layers":[44],"an":[46],"output":[47],"layer,":[48],"discriminator":[51],"constructed":[53],"convolutional":[56],"neural":[57],"network.":[58],"Additionally,":[59],"regularization":[60],"weights":[62],"introduced":[64],"to":[65,105],"train":[66],"networks":[68],"with":[69],"practical":[70],"that":[72],"includes":[73],"some":[74],"disturbances.":[75],"Synthetic":[76],"are":[79,90],"evaluated":[80],"quantitative":[82],"comparison":[83],"using":[84],"inception":[85],"score,":[86],"classification":[88],"results":[89],"compared":[91],"real":[93],"versus":[94],"synthetic":[95],"data.":[96],"In":[97],"conclusion,":[98],"proposed":[100],"shown":[104],"produce":[106],"realistic":[107],"therefore":[110],"useful":[111],"augmentation.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
