Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning. (arXiv:2211.09273v1 [cs.LG])

Emotional Surveillance is an emerging area with wide-reaching privacy
concerns. These concerns are exacerbated by ubiquitous IoT devices with
multiple sensors that can support these surveillance use cases. The work
presented here considers one such use case: the use of a speech emotion
recognition (SER) classifier tied to a smart speaker. This work demonstrates
the ability to evade black-box SER classifiers tied to a smart speaker without
compromising the utility of the smart speaker. This privacy concern is
considered through …

acoustic adversarial detection emotion detection evasion machine machine learning privacy speech