{"id":"https://openalex.org/W7154407109","doi":"https://doi.org/10.48550/arxiv.2604.11552","title":"MimicLM: Zero-Shot Voice Imitation through Autoregressive Modeling of Pseudo-Parallel Speech Corpora","display_name":"MimicLM: Zero-Shot Voice Imitation through Autoregressive Modeling of Pseudo-Parallel Speech Corpora","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154407109","doi":"https://doi.org/10.48550/arxiv.2604.11552"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.11552","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11552","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.11552","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100724815","display_name":"Tao Feng","orcid":"https://orcid.org/0000-0003-2247-0751"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Feng, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124273208","display_name":"Yuxiang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133580831","display_name":"Yuancheng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuancheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133603731","display_name":"Xueyao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xueyao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122626395","display_name":"Dekun Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Dekun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005342759","display_name":"Chaoren Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Chaoren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133612197","display_name":"Xun Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan, Xun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121258790","display_name":"Zhizheng Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhizheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100724815"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.476500004529953,"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":0.476500004529953,"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":0.1386999934911728,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.08640000224113464,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.8338000178337097},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5198000073432922},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.5034000277519226},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.47360000014305115},{"id":"https://openalex.org/keywords/timbre","display_name":"Timbre","score":0.4480000138282776},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4339999854564667},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.3646000027656555},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3617999851703644}],"concepts":[{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.8338000178337097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792900025844574},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.698199987411499},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5198000073432922},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.5034000277519226},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.47360000014305115},{"id":"https://openalex.org/C2776539107","wikidata":"https://www.wikidata.org/wiki/Q176501","display_name":"Timbre","level":3,"score":0.4480000138282776},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4339999854564667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4059999883174896},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2637999951839447},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.11552","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11552","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.11552","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11552","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Voice":[0],"imitation":[1,181],"aims":[2],"to":[3,7,24,61,70,127,150,163],"transform":[4],"source":[5,33],"speech":[6,91,112,132,156],"match":[8],"a":[9,86,106,184],"reference":[10],"speaker's":[11],"timbre":[12],"and":[13,34,82,157,204],"speaking":[14],"style":[15],"while":[16,116,195],"preserving":[17],"linguistic":[18],"content.":[19],"A":[20],"straightforward":[21],"approach":[22,108],"is":[23,50,92],"train":[25],"on":[26,140,171],"triplets":[27],"of":[28,154],"(source,":[29],"reference,":[30],"target),":[31],"where":[32],"target":[35,41],"share":[36],"the":[37,43,76,83,125,135,152,165],"same":[38],"content":[39],"but":[40],"matches":[42],"reference's":[44],"voice":[45,180],"characteristics,":[46],"yet":[47,186],"such":[48],"data":[49,64,142],"extremely":[51],"scarce.":[52],"Existing":[53],"approaches":[54],"either":[55],"employ":[56],"carefully":[57],"designed":[58],"disentanglement":[59],"architectures":[60],"bypass":[62],"this":[63,141],"scarcity":[65],"or":[66],"leverage":[67],"external":[68],"systems":[69],"synthesize":[71],"pseudo-parallel":[72],"training":[73,95,114,170],"data.":[74,173],"However,":[75],"former":[77],"requires":[78],"intricate":[79],"model":[80,126],"design,":[81],"latter":[84],"faces":[85],"quality":[87,137,182],"ceiling":[88],"when":[89,169],"synthetic":[90,111,136,172],"used":[93],"as":[94,113,120],"targets.":[96,121],"To":[97],"address":[98],"these":[99],"limitations,":[100],"we":[101,145],"propose":[102],"MimicLM,":[103],"which":[104],"takes":[105],"novel":[107],"by":[109],"using":[110],"sources":[115],"retaining":[117],"real":[118,131],"recordings":[119],"This":[122],"design":[123],"enables":[124],"learn":[128],"directly":[129],"from":[130],"distributions,":[133],"breaking":[134],"ceiling.":[138],"Building":[139],"construction":[143],"approach,":[144],"incorporate":[146],"interleaved":[147],"text-audio":[148],"modeling":[149],"guide":[151],"generation":[153],"content-accurate":[155],"apply":[158],"post-training":[159],"with":[160,183],"preference":[161],"alignment":[162],"mitigate":[164],"inherent":[166],"distributional":[167],"mismatch":[168],"Experiments":[174],"demonstrate":[175],"that":[176],"MimicLM":[177],"achieves":[178],"superior":[179],"simple":[185],"effective":[187],"architecture,":[188],"significantly":[189],"outperforming":[190],"existing":[191],"methods":[192],"in":[193],"naturalness":[194],"maintaining":[196],"competitive":[197],"similarity":[198],"scores":[199],"across":[200],"speaker":[201],"identity,":[202],"accent,":[203],"emotion":[205],"dimensions.":[206]},"counts_by_year":[],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2026-04-15T00:00:00"}