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eess.AS2023
Long-term Conversation Analysis: Exploring Utility and Privacy
Francesco Nespoli, Jule Pohlhausen, Patrick A. Naylor +1
The analysis of conversations recorded in everyday life requires privacy protection. In this contribution, we explore a privacy-preserving feature extraction method based on input…
eess.AS2023
Two-Stage Voice Anonymization for Enhanced Privacy
Francesco Nespoli, Daniel Barreda, Joerg Bitzer +1
In recent years, the need for privacy preservation when manipulating or storing personal data, including speech , has become a major issue. In this paper, we present a system addre…