{"id":"https://openalex.org/W4417413975","doi":"https://doi.org/10.48550/arxiv.2509.03300","title":"LatPhon: Lightweight Multilingual G2P for Romance Languages and English","display_name":"LatPhon: Lightweight Multilingual G2P for Romance Languages and English","publication_year":2025,"publication_date":"2025-09-03","ids":{"openalex":"https://openalex.org/W4417413975","doi":"https://doi.org/10.48550/arxiv.2509.03300"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.03300","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.03300","pdf_url":"https://arxiv.org/pdf/2509.03300","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.03300","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119818227","display_name":"Luis Felipe Chary","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chary, Luis Felipe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5119818228","display_name":"Miguel Arjona Ramirez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramirez, Miguel Arjona","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":0.8486999869346619,"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":0.8486999869346619,"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":0.10279999673366547,"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":0.007300000172108412,"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/transformer","display_name":"Transformer","score":0.6647999882698059},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47130000591278076},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.44780001044273376},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4449000060558319},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.4424000084400177},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4189999997615814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858999729156494},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6647999882698059},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5041999816894531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48579999804496765},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47130000591278076},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4535999894142151},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.44780001044273376},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4424000084400177},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3021000027656555},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.03300","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.03300","pdf_url":"https://arxiv.org/pdf/2509.03300","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.03300","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.03300","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":"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":"pmh:oai:arXiv.org:2509.03300","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.03300","pdf_url":"https://arxiv.org/pdf/2509.03300","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Grapheme-to-phoneme":[0],"(G2P)":[1],"conversion":[2],"is":[3],"a":[4,27,52,94],"key":[5],"front-end":[6,96],"for":[7,97],"text-to-speech":[8],"(TTS),":[9],"automatic":[10],"speech":[11,99],"recognition":[12],"(ASR),":[13],"speech-to-speech":[14],"translation":[15],"(S2ST)":[16],"and":[17,43,66],"alignment":[18],"systems,":[19],"especially":[20],"across":[21],"multiple":[22],"Latin-script":[23],"languages.We":[24],"present":[25],"LatPhon,":[26],"7.5":[28],"M":[29],"-":[30],"parameter":[31],"Transformer":[32],"jointly":[33],"trained":[34],"on":[35],"six":[36],"such":[37],"languages--English,":[38],"Spanish,":[39],"French,":[40],"Italian,":[41],"Portuguese,":[42],"Romanian.":[44],"On":[45],"the":[46,61],"public":[47],"ipa-dict":[48],"corpus,":[49],"it":[50],"attains":[51],"mean":[53],"phoneme":[54],"error":[55],"rate":[56],"(PER)":[57],"of":[58,75],"3.5%,":[59],"outperforming":[60],"byte-level":[62],"ByT5":[63],"baseline":[64],"(5.4%)":[65],"approaching":[67],"language-specific":[68],"WFSTs":[69],"(3.2%)":[70],"while":[71],"occupying":[72],"30":[73],"MB":[74],"memory,":[76],"which":[77],"makes":[78],"on-device":[79],"deployment":[80],"feasible":[81],"when":[82],"needed.":[83],"These":[84],"results":[85],"indicate":[86],"that":[87],"compact":[88],"multilingual":[89],"G2P":[90],"can":[91],"serve":[92],"as":[93],"universal":[95],"Latin-language":[98],"pipelines.":[100]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}