activity
20232026
collaborators

5 papers

eess.AS2026

Is Word Error Rate Enough? Rethinking Privacy Evaluation in Speech with Entity-Aware Metrics

Anjana Rajasekhar, Jule Pohlhausen, Nayana Jacob Alappattu +1

As the use of smart devices continues to increase, their potential to capture sensitive speech content raises growing privacy concerns. It is therefore critical to develop techniqu…

eess.AS2026

From Read Speech to Spoken Digits: A Task-Specific Evaluation of Speech Privacy With Informed Attackers

Jule Pohlhausen, Anjana Rajasekhar, Anna Leschanowsky +1

Protecting speech privacy in real-life audio recordings is a growing concern. This contribution evaluates the effectiveness of three obfuscation techniques in protecting linguistic…

eess.AS2025

Revisiting the Privacy of Low-Frequency Speech Signals: Exploring Resampling Methods, Evaluation Scenarios, and Speaker Characteristics

Jule Pohlhausen, Jörg Bitzer

While audio recordings in real life provide insights into social dynamics and conversational behavior, they also raise concerns about the privacy of personal, sensitive data. This…

eess.AS2024

Long-Term Conversation Analysis: Privacy-Utility Trade-off under Noise and Reverberation

Jule Pohlhausen, Francesco Nespoli, Joerg Bitzer

Recordings in everyday life require privacy preservation of the speech content and speaker identity. This contribution explores the influence of noise and reverberation on the trad…

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…