{"id":"https://openalex.org/W7140133503","doi":"https://doi.org/10.18653/v1/2026.eacl-short.16","title":"Exploring Cross-Lingual Voice Conversion Methods for Anonymizing Low-Resource Text-to-Speech","display_name":"Exploring Cross-Lingual Voice Conversion Methods for Anonymizing Low-Resource Text-to-Speech","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140133503","doi":"https://doi.org/10.18653/v1/2026.eacl-short.16"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.eacl-short.16","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-short.16","pdf_url":"https://aclanthology.org/2026.eacl-short.16.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.eacl-short.16.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109636962","display_name":"Shenran Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenran Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028411499","display_name":"Aidan Pine","orcid":"https://orcid.org/0000-0001-6552-5324"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aidan Pine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003895235","display_name":"Mengzhe Geng","orcid":"https://orcid.org/0000-0002-7886-439X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengzhe Geng","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":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.7962999939918518,"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":0.7962999939918518,"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":0.04670000076293945,"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":0.03689999878406525,"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/focus","display_name":"Focus (optics)","score":0.26759999990463257},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.26649999618530273},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2635999917984009},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.2540999948978424},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2515000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619700014591217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32690000534057617},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2883000075817108},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.23070000112056732},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.22529999911785126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2026.eacl-short.16","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-short.16","pdf_url":"https://aclanthology.org/2026.eacl-short.16.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:cisti-icist.nrc-cnrc.ca:cistinparc:66e49939-2b67-4de7-9608-ee3e0d7aadcd","is_oa":true,"landing_page_url":"https://nrc-publications.canada.ca/eng/view/object/?id=66e49939-2b67-4de7-9608-ee3e0d7aadcd","pdf_url":null,"source":{"id":"https://openalex.org/S7407055245","display_name":"NPARC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.eacl-short.16","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.eacl-short.16","pdf_url":"https://aclanthology.org/2026.eacl-short.16.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140133503.pdf","grobid_xml":"https://content.openalex.org/works/W7140133503.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"describe":[1],"and":[2,19,30,33],"compare":[3],"multiple":[4],"approaches":[5],"for":[6,24,58],"using":[7],"voice":[8,65],"conversion":[9],"techniques":[10],"to":[11,63],"mask":[12],"speaker":[13,37],"identities":[14],"in":[15],"low-resource":[16],"text-to-speech.We":[17],"build":[18],"evaluate":[20],"speaker-anonymized":[21],"text-to-speech":[22],"systems":[23],"two":[25],"Canadian":[26],"Indigenous":[27],"languages,":[28],"nhiyawwin":[29],"SEN":[31],"OTEN,":[32],"show":[34],"that":[35],"cross-lingual":[36,64],"transfer":[38],"via":[39],"multilingual":[40],"training":[41],"with":[42],"English":[43],"data":[44],"produces":[45],"the":[46,56],"most":[47],"consistent":[48],"results":[49],"across":[50],"both":[51],"languages.Our":[52],"research":[53],"also":[54],"underscores":[55],"need":[57],"better":[59],"evaluation":[60],"metrics":[61],"tailored":[62],"conversion.Our":[66],"code":[67],"can":[68],"be":[69],"found":[70],"at":[71],"https://github.com/EveryVoiceTTS/":[72],"Speaker_Anonymization_StyleTTS2":[73]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-24T00:00:00"}