{"id":"https://openalex.org/W3014786045","doi":"https://doi.org/10.1109/access.2020.2984007","title":"Non-Parallel Voice Conversion System With WaveNet Vocoder and Collapsed Speech Suppression","display_name":"Non-Parallel Voice Conversion System With WaveNet Vocoder and Collapsed Speech Suppression","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3014786045","doi":"https://doi.org/10.1109/access.2020.2984007","mag":"3014786045"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2984007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984007","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050502.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09050502.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037001032","display_name":"Yi-Chiao Wu","orcid":"https://orcid.org/0000-0003-4390-1354"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yi-Chiao Wu","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4390-1354","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050897938","display_name":"Patrick Lumban Tobing","orcid":"https://orcid.org/0000-0003-2792-8418"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Patrick Lumban Tobing","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2792-8418","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037417355","display_name":"Kazuhiro Kobayashi","orcid":"https://orcid.org/0000-0001-7801-147X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Kobayashi","raw_affiliation_strings":["Information Technology Center, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Center, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078778981","display_name":"Tomoki Hayashi","orcid":"https://orcid.org/0000-0001-8782-4093"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoki Hayashi","raw_affiliation_strings":["Graduate School of Information Science, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078330211","display_name":"Tomoki Toda","orcid":"https://orcid.org/0000-0001-8146-1279"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoki Toda","raw_affiliation_strings":["Information Technology Center, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Center, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6519,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7520993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"62094","last_page":"62106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.7782050371170044},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7727043628692627},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.6007393002510071},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.5421091318130493},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.5389472246170044},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.47226086258888245},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.4638746976852417},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.42711713910102844},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4212806820869446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20989909768104553},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.13167092204093933},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09080693125724792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782050371170044},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7727043628692627},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.6007393002510071},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.5421091318130493},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.5389472246170044},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.47226086258888245},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.4638746976852417},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.42711713910102844},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4212806820869446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20989909768104553},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.13167092204093933},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09080693125724792},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.2984007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984007","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050502.pdf","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:2003.11750","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.11750","pdf_url":"https://arxiv.org/pdf/2003.11750","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:25e27621ae974715a7711beb5a1a26f4","is_oa":true,"landing_page_url":"https://doaj.org/article/25e27621ae974715a7711beb5a1a26f4","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 8, Pp 62094-62106 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2984007","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2984007","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09050502.pdf","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1628655565","display_name":null,"funder_award_id":"JPMJPR1657","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G1688345242","display_name":"Next generation speech translation research","funder_award_id":"17H06101","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G200199876","display_name":"\u30e6\u30fc\u30b6\u306e\u9069\u5fdc\u80fd\u529b\u3092\u6d3b\u7528\u3059\u308b\u5171\u5275\u578b\u97f3\u58f0\u751f\u6210\u6a5f\u80fd\u62e1\u5f35\u6280\u8853\u306e\u69cb\u7bc9","funder_award_id":"JPMJPR1657","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G2521286739","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G2664191106","display_name":"\u97f3\u30e1\u30c7\u30a3\u30a2\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u304a\u3051\u308b\u5171\u5275\u578b\u6a5f\u80fd\u62e1\u5f35\u6280\u8853\u306e\u5275\u51fa","funder_award_id":"JPMJCR19A3","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G3497787681","display_name":null,"funder_award_id":"JPMJPR1657","funder_id":"https://openalex.org/F4320338111","funder_display_name":"Precursory Research for Embryonic Science and Technology"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8498396630","display_name":null,"funder_award_id":"JPMJCR19A3","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8892501299","display_name":null,"funder_award_id":"JPMJCR19A3","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014786045.pdf","grobid_xml":"https://content.openalex.org/works/W3014786045.grobid-xml"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W49412823","https://openalex.org/W59075858","https://openalex.org/W648786980","https://openalex.org/W1482298176","https://openalex.org/W1522301498","https://openalex.org/W1535240601","https://openalex.org/W1596263485","https://openalex.org/W1935012542","https://openalex.org/W1977362459","https://openalex.org/W1990505856","https://openalex.org/W2017425464","https://openalex.org/W2041823554","https://openalex.org/W2049686551","https://openalex.org/W2067175291","https://openalex.org/W2086796102","https://openalex.org/W2111550316","https://openalex.org/W2120605154","https://openalex.org/W2123003832","https://openalex.org/W2123808477","https://openalex.org/W2124212365","https://openalex.org/W2130290868","https://openalex.org/W2153057929","https://openalex.org/W2157412983","https://openalex.org/W2161476805","https://openalex.org/W2176263492","https://openalex.org/W2264797740","https://openalex.org/W2294351487","https://openalex.org/W2343023855","https://openalex.org/W2471520273","https://openalex.org/W2475998840","https://openalex.org/W2512087624","https://openalex.org/W2518172956","https://openalex.org/W2518312472","https://openalex.org/W2519091744","https://openalex.org/W2532494225","https://openalex.org/W2584032004","https://openalex.org/W2746474733","https://openalex.org/W2749651610","https://openalex.org/W2769810959","https://openalex.org/W2774848319","https://openalex.org/W2786868129","https://openalex.org/W2797310469","https://openalex.org/W2802455234","https://openalex.org/W2802935216","https://openalex.org/W2889044226","https://openalex.org/W2889064624","https://openalex.org/W2889329491","https://openalex.org/W2890983311","https://openalex.org/W2903365642","https://openalex.org/W2911540263","https://openalex.org/W2936002583","https://openalex.org/W2938583109","https://openalex.org/W2962793481","https://openalex.org/W2962850167","https://openalex.org/W2962882868","https://openalex.org/W2962896155","https://openalex.org/W2963035245","https://openalex.org/W2963091184","https://openalex.org/W2963175743","https://openalex.org/W2963248296","https://openalex.org/W2963300588","https://openalex.org/W2963411216","https://openalex.org/W2963589210","https://openalex.org/W2963782041","https://openalex.org/W2963975282","https://openalex.org/W2964045667","https://openalex.org/W2964069186","https://openalex.org/W2964121744","https://openalex.org/W2964307104","https://openalex.org/W2972504514","https://openalex.org/W2973115941","https://openalex.org/W3096980367","https://openalex.org/W4289305009","https://openalex.org/W4294619240","https://openalex.org/W4298580827","https://openalex.org/W6602007935","https://openalex.org/W6602386084","https://openalex.org/W6621543089","https://openalex.org/W6628615481","https://openalex.org/W6631190155","https://openalex.org/W6685322675","https://openalex.org/W6693024853","https://openalex.org/W6732429163","https://openalex.org/W6746801104","https://openalex.org/W6747713402","https://openalex.org/W6748409065","https://openalex.org/W6753855596","https://openalex.org/W6756159577"],"related_works":["https://openalex.org/W3211091508","https://openalex.org/W1976952689","https://openalex.org/W1842536210","https://openalex.org/W2070982348","https://openalex.org/W1984921740","https://openalex.org/W2496295964","https://openalex.org/W1572861854","https://openalex.org/W2539491809","https://openalex.org/W2336887028","https://openalex.org/W2020464095"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,91,124],"integrate":[4],"a":[5,13,18,29,55,101,126],"simple":[6],"non-parallel":[7,179],"voice":[8],"conversion":[9],"(VC)":[10],"system":[11,181],"with":[12,54],"WaveNet":[14],"(WN)":[15],"vocoder":[16,30,53],"and":[17,63,66,154,159],"proposed":[19,168],"collapsed":[20,85,111,127],"speech":[21,34,73,82,94,98,112,128,174],"suppression":[22],"technique.":[23],"The":[24],"effectiveness":[25,165],"of":[26,39,148,166,176],"WN":[27,52,77],"as":[28,95],"for":[31],"generating":[32],"high-fidelity":[33],"waveforms":[35],"on":[36],"the":[37,51,58,89,96,110,117,122,135,141,146,160,164,167,173],"basis":[38],"acoustic":[40,60,62],"features":[41],"has":[42],"been":[43],"confirmed":[44],"in":[45],"recent":[46],"works.":[47],"However,":[48],"when":[49],"combining":[50],"VC":[56,180],"system,":[57],"distorted":[59],"features,":[61],"temporal":[64],"mismatches,":[65],"exposure":[67],"bias":[68],"usually":[69],"lead":[70],"to":[71,99,108,115,132,140,144,150,183],"significant":[72],"quality":[74,149,175],"degradation,":[75],"making":[76],"generate":[78],"some":[79],"very":[80],"noisy":[81],"segments":[83,143],"called":[84],"speech.":[86],"To":[87],"tackle":[88],"problem,":[90],"take":[92],"conventional-vocoder-generated":[93],"reference":[97],"derive":[100],"linear":[102],"predictive":[103],"coding":[104],"distribution":[105],"constraint":[106],"(LPCDC)":[107],"avoid":[109],"problem.":[113],"Furthermore,":[114],"mitigate":[116],"negative":[118],"effects":[119],"introduced":[120],"by":[121],"LPCDC,":[123],"propose":[125],"segment":[129],"detector":[130],"(CSSD)":[131],"ensure":[133],"that":[134],"LPCDC":[136],"is":[137],"only":[138],"applied":[139],"problematic":[142],"limit":[145],"loss":[147],"short":[151],"periods.":[152],"Objective":[153],"subjective":[155],"evaluations":[156],"are":[157],"conducted,":[158],"experimental":[161],"results":[162],"confirm":[163],"method,":[169],"which":[170],"further":[171],"improves":[172],"our":[177],"previous":[178],"submitted":[182],"Voice":[184],"Conversion":[185],"Challenge":[186],"2018.":[187]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
