{"id":"https://openalex.org/W7148266005","doi":"https://doi.org/10.48550/arxiv.2604.00292","title":"MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control","display_name":"MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7148266005","doi":"https://doi.org/10.48550/arxiv.2604.00292"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.00292","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00292","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2604.00292","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kumar, Sahil","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kumar, Sahil","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132791674","display_name":"Namrataben Patel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patel, Namrataben","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132785686","display_name":"Honggang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Honggang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132772204","display_name":"Youshan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Youshan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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":0.5331000089645386,"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":0.5331000089645386,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.12950000166893005,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.04600000008940697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/conditioning","display_name":"Conditioning","score":0.680400013923645},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6707000136375427},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5799999833106995},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5460000038146973},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46720001101493835},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4113999903202057},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.36340001225471497}],"concepts":[{"id":"https://openalex.org/C45262634","wikidata":"https://www.wikidata.org/wiki/Q5159291","display_name":"Conditioning","level":2,"score":0.680400013923645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725999712944031},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6707000136375427},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5799999833106995},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5460000038146973},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4113999903202057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.374099999666214},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37290000915527344},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34389999508857727},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3239000141620636},{"id":"https://openalex.org/C2779110517","wikidata":"https://www.wikidata.org/wiki/Q1240788","display_name":"Supervisor","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.289000004529953},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.00292","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00292","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.00292","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00292","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.542156994342804}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"MambaVoiceCloning":[0],"(MVC)":[1],"asks":[2],"whether":[3],"the":[4,146],"conditioning":[5,68,152],"path":[6],"of":[7],"diffusion-based":[8],"TTS":[9],"can":[10],"be":[11],"made":[12],"fully":[13],"SSM-only":[14,151],"at":[15,85],"inference,":[16,86],"removing":[17],"all":[18],"attention":[19],"and":[20,28,58,73,91,103,109,123,131,139,157],"explicit":[21],"RNN-style":[22],"recurrence":[23],"layers":[24],"across":[25],"text,":[26],"rhythm,":[27],"prosody,":[29],"while":[30,133],"preserving":[31],"or":[32],"improving":[33,140],"quality":[34],"under":[35,94],"controlled":[36],"conditions.":[37],"MVC":[38,87,113],"combines":[39],"a":[40,46,51,95],"gated":[41],"bidirectional":[42],"Mamba":[43,61],"text":[44],"encoder,":[45],"Temporal":[47],"Bi-Mamba":[48],"supervised":[49],"by":[50,142],"lightweight":[52],"alignment":[53],"teacher":[54],"discarded":[55],"after":[56],"training,":[57],"an":[59],"Expressive":[60],"with":[62,69],"AdaLN":[63],"modulation,":[64],"yielding":[65],"linear-time":[66],"O(T)":[67],"bounded":[70],"activation":[71],"memory":[72,154],"practical":[74],"finite":[75],"look-ahead":[76],"streaming.":[77],"Unlike":[78],"prior":[79],"Mamba-TTS":[80],"systems":[81],"that":[82],"remain":[83],"hybrid":[84],"removes":[88],"attention-based":[89],"duration":[90],"style":[92],"modules":[93],"fixed":[96],"StyleTTS2":[97],"mel-diffusion-vocoder":[98],"backbone.":[99],"Trained":[100],"on":[101,105],"LJSpeech/LibriTTS":[102],"evaluated":[104],"VCTK,":[106],"CSS10":[107],"(ES/DE/FR),":[108],"long-form":[110],"Gutenberg":[111],"passages,":[112],"achieves":[114],"modest":[115],"but":[116,150],"statistically":[117],"reliable":[118],"gains":[119],"over":[120],"StyleTTS2,":[121],"VITS,":[122],"Mamba-attention":[124],"hybrids":[125],"in":[126],"MOS/CMOS,":[127],"F0":[128],"RMSE,":[129],"MCD,":[130],"WER,":[132],"reducing":[134],"encoder":[135],"parameters":[136],"to":[137],"21M":[138],"throughput":[141],"1.6x.":[143],"Diffusion":[144],"remains":[145],"dominant":[147],"latency":[148],"source,":[149],"improves":[153],"footprint,":[155],"stability,":[156],"deployability.":[158]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2026-04-03T00:00:00"}