Federated Learning for Privacy-Preserving Speaker Recognition

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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Bibliographic Details
Main Authors: Abraham Woubie, Tom Backstrom
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Edge computation
federated learning
privacy
secure aggregator
speaker recognition
Online Access:https://ieeexplore.ieee.org/document/9592761/

Internet

https://ieeexplore.ieee.org/document/9592761/

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