{"id":"https://openalex.org/W7163662731","doi":"https://doi.org/10.48550/arxiv.2606.05569","title":"Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs","display_name":"Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163662731","doi":"https://doi.org/10.48550/arxiv.2606.05569"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05569","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05569","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.2606.05569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054031088","display_name":"Huu Tuong Tu","orcid":"https://orcid.org/0000-0002-9820-1972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu, Huu Tuong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138015537","display_name":"Hanh Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Hanh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137769474","display_name":"Thien Van Luong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Luong, Thien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072673139","display_name":"Nguy\u1ec5n Ti\u1ebfn C\u01b0\u1eddng","orcid":"https://orcid.org/0000-0003-4039-529X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cuong, Nguyen Tien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134188242","display_name":"Vu Huan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huan, Vu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137949106","display_name":"Nguyen Thi Thu Trang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trang, Nguyen Thi Thu","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":0.7348999977111816,"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":0.7348999977111816,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.05820000171661377,"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/T12031","display_name":"Speech and dialogue systems","score":0.0364999994635582,"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":0.7419999837875366},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5803999900817871},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.4408999979496002},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.37549999356269836},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.3564999997615814},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.352400004863739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487999796867371},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.7419999837875366},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5803999900817871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564300000667572},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42719998955726624},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40689998865127563},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35089999437332153},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.27570000290870667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05569","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05569","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.2606.05569","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05569","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":[{"score":0.7768683433532715,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Mispronunciation":[0],"Detection":[1],"and":[2,13],"Diagnosis":[3],"(MDD)":[4],"has":[5],"gained":[6],"increasing":[7],"importance":[8],"in":[9,16],"computer-assisted":[10],"language":[11,56],"learning":[12],"speech":[14],"technology":[15],"recent":[17],"years.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,43],"propose":[23],"a":[24,45],"method":[25],"for":[26],"constructing":[27],"statistical":[28],"graphs":[29],"that":[30],"enable":[31],"models":[32],"to":[33,48],"learn":[34],"phoneme":[35],"confusion":[36],"patterns":[37],"represented":[38],"as":[39],"directed":[40],"graphs.":[41],"Furthermore,":[42],"introduce":[44],"language-specific":[46],"strategy":[47],"capture":[49],"systematic":[50],"pronunciation":[51],"differences":[52],"across":[53],"various":[54],"native":[55],"(L1)":[57],"backgrounds.":[58],"The":[59],"effectiveness":[60],"of":[61,78],"our":[62],"approach":[63],"is":[64],"demonstrated":[65],"through":[66],"extensive":[67],"experiments":[68],"on":[69],"the":[70],"L2-ARCTIC":[71],"benchmark,":[72],"where":[73],"it":[74],"achieves":[75],"an":[76],"F1-score":[77],"59.52%,":[79],"outperforming":[80],"several":[81],"competitive":[82],"baselines.":[83]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-06T00:00:00"}
