@inproceedings{Nespoli:2023:10.21437/Interspeech.2023-1341,
author = {Nespoli, F and Barreda, D and Bitzer, J and Naylor, PA},
doi = {10.21437/Interspeech.2023-1341},
pages = {3854--3858},
title = {Two-Stage Voice Anonymization for Enhanced Privacy},
url = {http://dx.doi.org/10.21437/Interspeech.2023-1341},
year = {2023}
}

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TY  - CPAPER
AB  - 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 addressing the speaker-level anonymization problem. We propose and evaluate a two-stage anonymization pipeline exploiting a state-of-the-art anonymization model described in the Voice Privacy Challenge 2022 in combination with a zero-shot voice conversion architecture able to capture speaker characteristics from a few seconds of speech. We show this architecture can lead to strong privacy preservation while preserving pitch information. Finally, we propose a new compressed metric to evaluate anonymization systems in privacy scenarios with different constraints on privacy and utility.
AU  - Nespoli,F
AU  - Barreda,D
AU  - Bitzer,J
AU  - Naylor,PA
DO  - 10.21437/Interspeech.2023-1341
EP  - 3858
PY  - 2023///
SN  - 2308-457X
SP  - 3854
TI  - Two-Stage Voice Anonymization for Enhanced Privacy
UR  - http://dx.doi.org/10.21437/Interspeech.2023-1341
ER  - 

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