{"id":"https://openalex.org/W7164073635","doi":"https://doi.org/10.48550/arxiv.2606.09295","title":"N\u00fcshuVoice: Reviving the Voice of Endangered N\u00fcshu with Pitch-Aware Text-to-Speech","display_name":"N\u00fcshuVoice: Reviving the Voice of Endangered N\u00fcshu with Pitch-Aware Text-to-Speech","publication_year":2026,"publication_date":"2026-06-08","ids":{"openalex":"https://openalex.org/W7164073635","doi":"https://doi.org/10.48550/arxiv.2606.09295"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.09295","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09295","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.09295","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138210758","display_name":"Hongkun Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Hongkun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138252044","display_name":"Xinhui Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Xinhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138233963","display_name":"Xiyan Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Xiyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138228830","display_name":"Yibo Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Yibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138204152","display_name":"Lionel Z. Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Lionel Z.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138228558","display_name":"Lixu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Lixu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378919","display_name":"Yaqi Zhang","orcid":"https://orcid.org/0000-0002-6902-337X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yaqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029845406","display_name":"Ruiqi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ruiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112974832","display_name":"Xuanyue Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Xuanyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138252719","display_name":"Lanxin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Lanxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138282249","display_name":"Yu Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138206518","display_name":"Weijia Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Weijia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101033214","display_name":"Yiming Ma","orcid":"https://orcid.org/0009-0008-2732-8539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yiming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138273575","display_name":"Chenyu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Chenyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138269211","display_name":"Jianghao Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Jianghao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138253997","display_name":"Xin Xu (11989)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Xin","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":0.6470000147819519,"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":0.6470000147819519,"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":0.18690000474452972,"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/T11309","display_name":"Music and Audio Processing","score":0.04639999940991402,"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/construct","display_name":"Construct (python library)","score":0.660099983215332},{"id":"https://openalex.org/keywords/unicode","display_name":"Unicode","score":0.595300018787384},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5821999907493591},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.5005000233650208},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4893999993801117},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.48809999227523804},{"id":"https://openalex.org/keywords/endangered-species","display_name":"Endangered species","score":0.46380001306533813},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.4627000093460083}],"concepts":[{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.660099983215332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567000150680542},{"id":"https://openalex.org/C500551929","wikidata":"https://www.wikidata.org/wiki/Q8819","display_name":"Unicode","level":2,"score":0.595300018787384},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5821999907493591},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.5005000233650208},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49300000071525574},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4893999993801117},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48809999227523804},{"id":"https://openalex.org/C179345059","wikidata":"https://www.wikidata.org/wiki/Q11394","display_name":"Endangered species","level":3,"score":0.46380001306533813},{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.4404999911785126},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C2778473407","wikidata":"https://www.wikidata.org/wiki/Q1459574","display_name":"Compendium","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42879998683929443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41130000352859497},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.37790000438690186},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3190999925136566},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C108170787","wikidata":"https://www.wikidata.org/wiki/Q3951828","display_name":"Agency (philosophy)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.259799987077713}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.09295","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09295","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.09295","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09295","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":"Preprint"},"sustainable_development_goals":[{"score":0.5761029124259949,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"},{"score":0.41486459970474243,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"N\u00fcshu":[0,21,42,83,90],"is":[1,46],"an":[2,111,122],"endangered":[3],"phonetic":[4,92],"script":[5],"historically":[6],"used":[7],"by":[8],"women":[9],"in":[10,136],"Jiangyong":[11],"County,":[12],"southern":[13],"Hunan,":[14],"China.":[15],"While":[16],"existing":[17],"computational":[18],"studies":[19],"of":[20,33,58],"mainly":[22],"focus":[23],"on":[24],"textual":[25],"digitization":[26],"and":[27,55,97,141,149],"visual":[28],"recognition,":[29],"the":[30,73,147],"acoustic":[31],"reconstruction":[32],"its":[34],"authentic":[35],"pronunciation":[36],"remains":[37],"largely":[38],"unexplored.":[39],"Building":[40],"a":[41,81],"text-to-speech":[43],"(TTS)":[44],"system":[45],"particularly":[47],"challenging":[48],"because":[49],"available":[50],"recordings":[51],"are":[52],"extremely":[53],"limited":[54],"mostly":[56],"consist":[57],"isolated":[59],"syllable-level":[60],"pronunciations":[61],"rather":[62],"than":[63],"natural":[64],"sentence-level":[65,82],"utterances.":[66],"In":[67],"this":[68,104],"work,":[69],"we":[70,108],"introduce":[71],"N\u00fcshuVoice,":[72],"first":[74],"TTS":[75,134],"benchmark":[76],"for":[77],"N\u00fcshu.":[78],"We":[79,144],"construct":[80],"text-to-audio":[84],"dataset":[85,148],"that":[86,115,130],"aligns":[87],"standardized":[88],"Unicode":[89],"text,":[91],"transcriptions,":[93],"standard":[94],"Chinese":[95],"translations,":[96],"archival":[98],"recordings.":[99],"To":[100],"synthesize":[101],"speech":[102],"under":[103],"extreme":[105],"low-resource":[106],"setting,":[107],"propose":[109],"N\u00fcshu-PitchVITS,":[110],"F0-conditioned":[112],"VITS":[113],"framework":[114],"leverages":[116],"N\u00fcshu's":[117],"five-level":[118],"pitch":[119,139],"notation":[120],"as":[121],"explicit":[123],"prosodic":[124],"inductive":[125],"bias.":[126],"Experimental":[127],"results":[128],"show":[129],"N\u00fcshu-PitchVITS":[131],"outperforms":[132],"strong":[133],"baselines":[135],"spectral":[137],"fidelity,":[138],"reconstruction,":[140],"human-rated":[142],"intelligibility.":[143],"publicly":[145],"release":[146],"code":[150],"at:":[151],"https://anonymous.4open.science/r/Nvshu-TTS-2EB6.":[152]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-10T00:00:00"}
