为语音匿名化设计提供场景化框架，明确不同用途下的技术要求。
Use Cases for Voice Anonymization
- 构建首个语音匿名化使用场景分类体系。
- 通过文献与用户研究提炼出核心需求与评估标准。
- 推动从通用方法转向场景驱动的系统设计。
语音匿名化系统的性能通常以隐藏说话人身份并保持下游任务数据效用的能力来衡量。这意味着匿名化的要求取决于具体应用场景，不同场景间差异显著。然而，现有研究论文极少明确说明使用场景。本文通过广泛文献分析与用户调研，收集可能的使用场景，并理解公众对这类工具的期望。基于研究结果，提出首个语音匿名化的使用场景分类体系，并推导出方法开发与评估所需的需求与设计准则。本文建议未来研究应更聚焦于场景导向的语音匿名化系统研发。
原文摘要 · Abstract (English)
The performance of a voice anonymization system is typically measured according to its ability to hide the speaker's identity and keep the data's utility for downstream tasks. This means that the requirements the anonymization should fulfill depend on the context in which it is used and may differ greatly between use cases. However, these use cases are rarely specified in research papers. In this paper, we study the implications of use case-specific requirements on the design of voice anonymization methods. We perform an extensive literature analysis and user study to collect possible use cases and to understand the expectations of the general public towards such tools. Based on these studies, we propose the first taxonomy of use cases for voice anonymization, and derive a set of requirements and design criteria for method development and evaluation. Using this scheme, we propose to focus more on use case-oriented research and development of voice anonymization systems.
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