Federated Learning for Privacy-Preserving Speaker Recognition
The state-of-the-art speaker recognition systems are usually trained on a single computer using speech data collected from multiple users. However, these speech samples may contain private information which users may not be willing to share. To overcome potential breaches of privacy, we investigate...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
IEEE
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/20568ae1fca8458dab50743444594d16 |
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