{"id":"https://openalex.org/W4409560844","doi":"https://doi.org/10.1109/access.2025.3561857","title":"DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis","display_name":"DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409560844","doi":"https://doi.org/10.1109/access.2025.3561857"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3561857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3561857","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3561857","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030111756","display_name":"Zeeshan Ahmad","orcid":"https://orcid.org/0000-0002-2074-8847"},"institutions":[{"id":"https://openalex.org/I4394709157","display_name":"Eastern Institute of Technology, Ningbo","ror":"https://ror.org/036mbz113","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeeshan Ahmad","raw_affiliation_strings":["Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China","Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, People&#x2019;s Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-2074-8847","affiliations":[{"raw_affiliation_string":"Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China","institution_ids":["https://openalex.org/I4394709157"]},{"raw_affiliation_string":"Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, People&#x2019;s Republic of China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081298004","display_name":"Shu\u2010Di Bao","orcid":"https://orcid.org/0000-0003-1432-4404"},"institutions":[{"id":"https://openalex.org/I4394709157","display_name":"Eastern Institute of Technology, Ningbo","ror":"https://ror.org/036mbz113","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shudi Bao","raw_affiliation_strings":["Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China","Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, People&#x2019;s Republic of China"],"raw_orcid":"https://orcid.org/0000-0003-1432-4404","affiliations":[{"raw_affiliation_string":"Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China","institution_ids":["https://openalex.org/I4394709157"]},{"raw_affiliation_string":"Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, People&#x2019;s Republic of China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357843","display_name":"Meng Chen","orcid":"https://orcid.org/0000-0001-5476-8662"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Chen","raw_affiliation_strings":["School of Cyber Science and Engineering, Ningbo University of Technology, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0001-5476-8662","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Ningbo University of Technology, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.4787,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88656885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"69324","last_page":"69340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.998199999332428,"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/high-fidelity","display_name":"High fidelity","score":0.7343727946281433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6979905962944031},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5270833373069763},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4983341693878174},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4326997995376587},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.41429266333580017},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4082058072090149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2860252857208252},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2022312581539154},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1414947807788849},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.13179507851600647},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07804703712463379}],"concepts":[{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.7343727946281433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6979905962944031},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5270833373069763},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4983341693878174},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4326997995376587},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.41429266333580017},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4082058072090149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2860252857208252},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2022312581539154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1414947807788849},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.13179507851600647},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07804703712463379}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2025.3561857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3561857","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2505.09091","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.09091","pdf_url":"https://arxiv.org/pdf/2505.09091","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:doaj.org/article:fd7075029b664538a051830831dbd414","is_oa":true,"landing_page_url":"https://doaj.org/article/fd7075029b664538a051830831dbd414","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":"IEEE Access, Vol 13, Pp 69324-69340 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3561857","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3561857","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1385623909","display_name":null,"funder_award_id":"2023D15","funder_id":"https://openalex.org/F4320336270","funder_display_name":"National Mobile Communications Research Laboratory, Southeast University"},{"id":"https://openalex.org/G3505716531","display_name":null,"funder_award_id":"2022LYKFYB01","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G5505879192","display_name":null,"funder_award_id":"LGF22H120009","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336270","display_name":"National Mobile Communications Research Laboratory, Southeast University","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1552314771","https://openalex.org/W2120847449","https://openalex.org/W2133824856","https://openalex.org/W2471520273","https://openalex.org/W2591927543","https://openalex.org/W2593414223","https://openalex.org/W2601564443","https://openalex.org/W2602577565","https://openalex.org/W2808502683","https://openalex.org/W2963300588","https://openalex.org/W2963470893","https://openalex.org/W2963609956","https://openalex.org/W2964243274","https://openalex.org/W2972478942","https://openalex.org/W2975414524","https://openalex.org/W3015338123","https://openalex.org/W3024973272","https://openalex.org/W3083569822","https://openalex.org/W3144035034","https://openalex.org/W3157668818","https://openalex.org/W3160077247","https://openalex.org/W3161236344","https://openalex.org/W3196468212","https://openalex.org/W3197273793","https://openalex.org/W4224920322","https://openalex.org/W4312822384","https://openalex.org/W4320013936","https://openalex.org/W4327524109","https://openalex.org/W4389619460","https://openalex.org/W4390604258","https://openalex.org/W4390965895","https://openalex.org/W4391020683","https://openalex.org/W4391305764","https://openalex.org/W4391615163","https://openalex.org/W4396898756","https://openalex.org/W6635084905","https://openalex.org/W6732429163","https://openalex.org/W6736723571","https://openalex.org/W6745697700","https://openalex.org/W6748409065","https://openalex.org/W6753855596","https://openalex.org/W6756197946","https://openalex.org/W6758675244","https://openalex.org/W6767111847","https://openalex.org/W6783867762","https://openalex.org/W6802838302","https://openalex.org/W6803348503","https://openalex.org/W6838843145","https://openalex.org/W6843673214","https://openalex.org/W6843702891","https://openalex.org/W6852824296","https://openalex.org/W6917585676"],"related_works":["https://openalex.org/W4313443006","https://openalex.org/W2888032422","https://openalex.org/W2945374968","https://openalex.org/W2996316059","https://openalex.org/W4293777179","https://openalex.org/W4385452045","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W2895525995","https://openalex.org/W2332512904"],"abstract_inverted_index":{"In":[0,84],"recent":[1],"years,":[2],"generative":[3],"adversarial":[4],"networks":[5],"(GANs)":[6],"have":[7],"made":[8],"significant":[9],"progress":[10],"in":[11,67,212],"generating":[12],"audio":[13,29,68,82,135],"sequences.":[14],"However,":[15],"these":[16],"models":[17],"typically":[18],"rely":[19],"on":[20,184,204],"bandwidth-limited":[21],"mel-spectrograms,":[22],"which":[23],"constrain":[24],"the":[25,74,107,112,118,134,141,170,173],"resolution":[26],"of":[27,111,140,172],"generated":[28,130],"sequences,":[30],"and":[31,79,109,129,148,164,187,193,208],"lead":[32],"to":[33,63,77,124,168],"mode":[34],"collapse":[35],"during":[36],"conditional":[37],"generation.":[38,69],"To":[39],"address":[40],"this":[41],"issue,":[42],"we":[43,116,155],"propose":[44],"Deformable":[45],"Periodic":[46],"Network":[47],"based":[48],"GAN":[49,53,202],"(DPN-GAN),":[50],"a":[51,57,90],"novel":[52],"architecture":[54],"that":[55,105,179],"incorporates":[56],"kernel-based":[58],"periodic":[59,65],"ReLU":[60],"activation":[61],"function":[62],"induce":[64],"bias":[66],"This":[70],"innovative":[71],"approach":[72],"enhances":[73],"model\u2019s":[75],"ability":[76],"capture":[78],"reproduce":[80],"intricate":[81],"patterns.":[83],"particular,":[85],"our":[86],"proposed":[87],"model":[88],"features":[89],"DPN":[91],"module":[92],"for":[93,101],"multi-resolution":[94],"generation":[95,166],"utilizing":[96],"deformable":[97,122],"convolution":[98,123],"operations,":[99],"allowing":[100],"adaptive":[102],"receptive":[103],"fields":[104],"improve":[106],"quality":[108],"fidelity":[110],"synthetic":[113],"audio.":[114,214],"Additionally,":[115],"enhance":[117],"discriminator":[119],"network":[120],"using":[121],"better":[125],"distinguish":[126],"between":[127],"real":[128],"samples,":[131],"further":[132],"refining":[133],"quality.We":[136],"trained":[137],"two":[138],"versions":[139],"model:":[142],"DPN-GAN":[143,149,180,199],"small":[144],"(38.67":[145],"M":[146],"parameters)":[147],"large":[150],"(124M":[151],"parameters).":[152],"For":[153],"evaluation,":[154],"use":[156],"five":[157],"different":[158],"datasets,":[159,198],"covering":[160],"both":[161,185],"speech":[162],"synthesis":[163],"music":[165],"tasks,":[167],"demonstrate":[169,178],"efficiency":[171],"DPN-GAN.":[174],"The":[175],"experimental":[176],"results":[177],"delivers":[181],"superior":[182],"performance":[183],"out-of-distribution":[186],"noisy":[188],"data,":[189],"showcasing":[190],"its":[191],"robustness":[192,211],"adaptability.":[194],"Trained":[195],"across":[196],"various":[197],"outperforms":[200],"state-of-the-art":[201],"architectures":[203],"standard":[205],"evaluation":[206],"metrics,":[207],"exhibits":[209],"increased":[210],"synthesized":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
