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Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. (arXiv:2112.13416v2 [cs.CR] UPDATED)
May 18, 2022, 1:20 a.m. | Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan
cs.CR updates on arXiv.org arxiv.org
Speech emotion recognition (SER) processes speech signals to detect and
characterize expressed perceived emotions. Many SER application systems often
acquire and transmit speech data collected at the client-side to remote cloud
platforms for inference and decision making. However, speech data carry rich
information not only about emotions conveyed in vocal expressions, but also
other sensitive demographic traits such as gender, age and language background.
Consequently, it is desirable for SER systems to have the ability to classify
emotion constructs while …
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