{"id":"https://openalex.org/W7163894534","doi":"https://doi.org/10.48550/arxiv.2606.06928","title":"VoxCPM2 Technical Report","display_name":"VoxCPM2 Technical Report","publication_year":2026,"publication_date":"2026-06-05","ids":{"openalex":"https://openalex.org/W7163894534","doi":"https://doi.org/10.48550/arxiv.2606.06928"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.06928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.06928","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.06928","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138137529","display_name":"Yixuan Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138148615","display_name":"Guoyang Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Guoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138125531","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0003-4382-8687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138177310","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-9124-5892"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134196489","display_name":"Renjie Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Renjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055247809","display_name":"Jiancheng Gui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gui, Jiancheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111101111","display_name":"Jiaheng Wu","orcid":"https://orcid.org/0009-0005-2490-6661"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jiaheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138125311","display_name":"Ziyang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ziyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138114162","display_name":"Xudong Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Xudong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134198614","display_name":"Runchuan Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Runchuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138177437","display_name":"Zhisheng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhisheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101561417","display_name":"Jiuyang Zhou","orcid":"https://orcid.org/0009-0008-3290-4801"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jiuyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099111159","display_name":"Bingsong Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Bingsong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062620840","display_name":"Wei-Yue Sun","orcid":"https://orcid.org/0000-0002-1953-7698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Weiyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051995014","display_name":"Mengyi Deng","orcid":"https://orcid.org/0009-0005-7239-922X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Mengyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122073483","display_name":"Qundong Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Qundong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138196447","display_name":"Zhiyong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhiyong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138188914","display_name":"Zhiyuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhiyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":0.6085000038146973,"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":0.6085000038146973,"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":0.20829999446868896,"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/T10863","display_name":"Voice and Speech Disorders","score":0.0364999994635582,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6287000179290771},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.532800018787384},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5128999948501587},{"id":"https://openalex.org/keywords/continuation","display_name":"Continuation","score":0.45989999175071716},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.4287000000476837},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4207000136375427},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4189999997615814},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.3849000036716461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692300021648407},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6287000179290771},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.532800018787384},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.45989999175071716},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37389999628067017},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33869999647140503},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C182449105","wikidata":"https://www.wikidata.org/wiki/Q3099732","display_name":"Technical report","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.06928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.06928","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.06928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.06928","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6016159653663635,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"VoxCPM2,":[2],"a":[3,50,109,131,180],"https://info.arxiv.org/help/prep#abstractsfully":[4],"open-source":[5],"multilingual":[6,97,187],"and":[7,45,64,76,87,136,147,182,188,197,212],"controllable":[8,189],"speech":[9,177,190],"generation":[10,116],"foundation":[11,184],"model":[12,83,193],"that":[13,59,113,167],"extends":[14],"the":[15,24,82,88,122,204],"hierarchical":[16,168],"diffusion-autoregressive":[17],"modeling":[18],"paradigm":[19],"of":[20,96,121,134,162],"VoxCPM.":[21],"VoxCPM2":[22,138],"advances":[23],"framework":[25],"in":[26],"three":[27],"key":[28],"dimensions:":[29],"(i)":[30],"capability,":[31],"by":[32,79],"unifying":[33],"30":[34],"languages,":[35],"9":[36],"Chinese":[37],"dialects,":[38],"natural-language":[39],"voice":[40,43],"design,":[41],"style-controllable":[42],"cloning,":[44],"high-fidelity":[46],"continuation":[47],"cloning":[48],"within":[49,104],"single":[51,132],"backbone;":[52],"(ii)":[53],"quality,":[54],"through":[55,118],"an":[56,159],"asymmetric":[57],"AudioVAE":[58],"encodes":[60],"at":[61,66],"16":[62],"kHz":[63],"reconstructs":[65],"48":[67],"kHz,":[68],"enabling":[69],"implicit":[70],"super-resolution":[71],"with":[72],"high":[73],"encoding":[74],"efficiency;":[75],"(iii)":[77],"scale,":[78],"jointly":[80],"scaling":[81],"to":[84,91,208],"2B":[85],"parameters":[86,135],"training":[89,129],"data":[90],"over":[92],"2":[93],"million":[94],"hours":[95],"speech.":[98],"To":[99],"support":[100],"these":[101],"diverse":[102],"capabilities":[103],"one":[105],"model,":[106],"we":[107],"introduce":[108],"unified":[110],"sequence":[111],"organization":[112],"expresses":[114],"all":[115],"modes":[117],"different":[119],"arrangements":[120],"same":[123],"input":[124],"building":[125],"blocks,":[126],"allowing":[127],"joint":[128],"under":[130,203],"set":[133],"objective.":[137],"achieves":[139],"state-of-the-art":[140],"or":[141],"competitive":[142],"performance":[143],"on":[144,173],"public":[145],"zero-shot":[146],"instruction-following":[148],"TTS":[149],"benchmarks.":[150],"On":[151],"our":[152],"internal":[153],"30-language":[154],"evaluation":[155],"set,":[156],"it":[157],"attains":[158],"average":[160],"WER":[161],"1.68%.":[163],"These":[164],"results":[165],"demonstrate":[166],"continuous-latent":[169],"modeling,":[170],"without":[171],"relying":[172],"any":[174],"external":[175],"discrete":[176],"tokenizer,":[178],"offers":[179],"viable":[181],"powerful":[183],"for":[185],"large-scale":[186],"generation.":[191],"The":[192],"weights,":[194],"fine-tuning":[195],"code,":[196],"inference":[198],"tools":[199],"are":[200],"publicly":[201],"released":[202],"Apache":[205],"2.0":[206],"license":[207],"foster":[209],"community":[210],"research":[211],"development.":[213]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-09T00:00:00"}
