TY - GEN
T1 - Privacy Measurement of Physical Attributes on Voice Anonymity
AU - Zhang, Shaohu
AU - Li, Zhouyu
AU - Das, Anupam
PY - 2024
Y1 - 2024
N2 - Various methods have been proposed for protecting the speaker's identity while preserving speech intelligibility. However, existing studies fail to consider the overall tradeoff between speech utility, speaker verification, and inference of voice physical attributes, such as emotion, age, accent, and gender. we propose a tradeoff metric to encapsulate voice biometrics as well as different voice attributes, to study the feasibility of applying cutting-edge voice anonymization solutions to achieve the optimum tradeoff between privacy protection and speech utility.
AB - Various methods have been proposed for protecting the speaker's identity while preserving speech intelligibility. However, existing studies fail to consider the overall tradeoff between speech utility, speaker verification, and inference of voice physical attributes, such as emotion, age, accent, and gender. we propose a tradeoff metric to encapsulate voice biometrics as well as different voice attributes, to study the feasibility of applying cutting-edge voice anonymization solutions to achieve the optimum tradeoff between privacy protection and speech utility.
UR - https://dx.doi.org/10.1145/3636534.3697448
U2 - 10.1145/3636534.3697448
DO - 10.1145/3636534.3697448
M3 - Conference contribution
BT - 30th International Conference on Mobile Computing and Networking, ACM MobiCom 2024
ER -