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arXiv· arXiv:2505.24115· Bhawana Chhaglani, Sarmistha Sarna Gomasta, Yuvraj Agarwal, Jeremy Gummeson, Prashant Shenoy·Indexed by this site · Originally published

FeatureSense: Protecting speaker attributes in always-on audio sensing systems

FeatureSense: Protecting Speaker Attributes in Always-On Audio Sensing System

AI summary

The FeatureSense system targets always-on audio sensing and provides a privacy solution that balances sensing utility with protection of speaker attributes such as age and gender; the study also notes that these attributes can still be inferred after masking speech content. The system provides general-purpose privacy-aware audio features as an open-source library and uses task-adaptive feature selection to trade off privacy, utility and cost. In evaluations across multiple sensing tasks, its effectiveness at protecting user-specific privacy is 60.6% higher than existing privacy techniques.

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