Target speaker anonymization in multi-speaker recordings
Natalia Tomashenko, Junichi Yamagishi, Emmanuel Vincent
Abstract
Most of the existing speaker anonymization research has focused on single-speaker audio, leading to the development of techniques and evaluation metrics optimized for such condition. This study addresses the significant challenge of speaker anonymization within multi-speaker conversational audio, specifically when only a single target speaker needs to be anonymized. This scenario is highly relevant in contexts like call centers, where customer privacy necessitates anonymizing only the customer's voice in interactions with operators. Conventional anonymization methods are often not suitable for this task. Moreover, current evaluation methodology does not allow us to accurately assess privacy protection and utility in this complex multi-speaker scenario. This work aims to bridge these gaps by exploring effective strategies for targeted speaker anonymization in conversational audio, highlighting potential problems in their development and proposing corresponding improved evaluation methodologies.
BibTeX
@inproceedings{icassp2026_targetspeakerano,
title = {Target speaker anonymization in multi-speaker recordings},
author = {Natalia Tomashenko and Junichi Yamagishi and Emmanuel Vincent},
booktitle = {ICASSP 2026},
year = {2026}
}