{"id":"https://openalex.org/W7165738273","doi":"https://doi.org/10.48550/arxiv.2606.24714","title":"CN-NewsTTS Bench: a target-level automatic benchmark for raw-input Chinese news TTS pronunciation","display_name":"CN-NewsTTS Bench: a target-level automatic benchmark for raw-input Chinese news TTS pronunciation","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165738273","doi":"https://doi.org/10.48550/arxiv.2606.24714"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.24714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24714","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.2606.24714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139272627","display_name":"Shijun Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Luo, Shijun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5139272627"],"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/T10181","display_name":"Natural Language Processing Techniques","score":0.8712999820709229,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.8712999820709229,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.03929999843239784,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.02280000038444996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.7675999999046326},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6904000043869019},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5354999899864197},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.43849998712539673},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.4101000130176544}],"concepts":[{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.7675999999046326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123000025749207},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6904000043869019},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6018000245094299},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5370000004768372},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5221999883651733},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.36959999799728394},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.2689000070095062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.24714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24714","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.2606.24714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24714","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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6864650249481201}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Chinese":[0,58],"news":[1,59],"text":[2],"contains":[3,81],"dense":[4],"written":[5,39],"forms":[6,24],"such":[7,63],"as":[8],"scores,":[9],"hyphenated":[10],"model":[11],"names,":[12],"ranges,":[13],"unit":[14],"symbols,":[15],"percentages,":[16],"English":[17],"abbreviations,":[18],"and":[19,31,105,124],"mixed":[20],"Chinese-Latin-digit":[21],"names.":[22],"These":[23],"are":[25],"frequent":[26],"in":[27],"real":[28],"listening":[29],"workflows,":[30],"a":[32,82,98],"text-to-speech":[33],"(TTS)":[34],"system":[35,130],"can":[36],"preserve":[37],"the":[38,43],"string":[40],"while":[41,135],"changing":[42],"spoken":[44],"meaning.":[45],"We":[46,113],"introduce":[47],"CN-NewsTTS":[48],"Bench":[49],"v0.1,":[50],"an":[51,86,101],"open":[52],"target-level":[53],"benchmark":[54],"for":[55,108],"evaluating":[56],"whether":[57],"TTS":[60,111],"products":[61],"pronounce":[62],"targets":[64],"correctly":[65],"from":[66,97],"raw":[67],"text,":[68],"without":[69],"user-side":[70],"rules,":[71],"LLM":[72],"rewriting,":[73],"SSML":[74],"hints,":[75],"or":[76],"manual":[77],"edits.":[78],"The":[79,128],"release":[80],"200-record":[83],"development":[84],"set,":[85,90],"800-record":[87],"public":[88,92],"test":[89],"992":[91],"auto-evaluable":[93],"targets,":[94],"fixed":[95],"transcripts":[96],"three-ASR":[99],"ensemble,":[100],"automatic":[102],"target":[103],"scorer,":[104],"initial":[106],"results":[107],"seven":[109],"product":[110],"systems.":[112],"additionally":[114],"report":[115],"ASR-route":[116],"diagnostics,":[117],"ASR-subset":[118],"ablations,":[119],"category-level":[120],"results,":[121],"confidence":[122],"intervals,":[123],"provider":[125],"configuration":[126],"metadata.":[127],"best":[129],"reaches":[131],"0.879":[132],"strict":[133],"accuracy,":[134],"several":[136],"systems":[137],"remain":[138],"below":[139],"0.60.":[140]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}