Distinguishability-Driven Voice Generation for Speaker Anonymization via Random Projection and GMM
Speaker anonymization effectively conceals speaker identity in speech signals to protect privacy. To address issues in existing anonymization systems, including reduced voice distinguishability, limited anonymized voices, reliance on an external speaker pool, and vulnerability to privacy leakage aga...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2026-01-01
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| Colección: | Big Data and Cognitive Computing |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2504-2289/10/2/43 |
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