| Download | - View final version: Exploring cross-lingual voice conversion methods for anonymizing low-resource text-to-speech (PDF, 511 KiB)
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| DOI | Resolve DOI: https://doi.org/10.18653/v1/2026.eacl-short.16 |
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| Author | Search for: Wang, Shenran1; Search for: Pine, Aidan2ORCID identifier: https://orcid.org/0000-0001-6552-5324; Search for: Geng, Mengzhe2ORCID identifier: https://orcid.org/0000-0002-7886-439X |
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| Affiliation | - University of British Columbia
- National Research Council Canada. Digital Technologies
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| Format | Text, Article |
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| Conference | 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), March 24-29, 2026, Rabat, Morocco |
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| Abstract | We describe and compare multiple approaches for using voice conversion techniques to mask speaker identities in low-resource text-to-speech. We build and evaluate speaker-anonymized text-to-speech systems for two Canadian Indigenous languages, nêhiyawêwin and SENĆOŦEN, and show that cross-lingual speaker transfer via multilingual training with English data produces the most consistent results across both languages. Our research also underscores the need for better evaluation metrics tailored to cross-lingual voice conversion. |
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| Publication date | 2026-03-29 |
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| Publisher | Association for Computational Linguistics |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 66e49939-2b67-4de7-9608-ee3e0d7aadcd |
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| Record created | 2026-04-16 |
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| Record modified | 2026-06-03 |
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