Work

Privacy Measurement of Physical Attributes on Voice Anonymity

Year: 2024

Type: conference-paper

Abstract: 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.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3697448

Authors: Shaohu Zhang, Zhouyu Li, Anupam Das

Institutions: University of North Carolina at Pembroke, North Carolina State University

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4405014902

FWCI:

Cites: 4

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Related to: 10