Speech technology for communication, accessing information and services has rapidly improved in quality. It is convenient and appealing because speech is the primary mode of communication for humans. Such technology however also presents proven threats to privacy. Speech is a tool for communication and it will thus inherently contain private information. Importantly, it however also contains a wealth of side information, such as information related to health, emotions, affiliations, and relationships, all of which are private. Exposing such private information can lead to serious threats such as price gouging, harassment, extortion, and stalking. This paper is a tutorial on privacy issues related to speech technology, modeling their threats, approaches for protecting users' privacy, measuring the performance of privacy-protecting methods, perception of privacy as well as societal and legal consequences. In addition to a tutorial overview, it also presents lines for further development where improvements are most urgently needed.

翻译：用于通信、信息获取与服务的语音技术质量已迅速提升。由于语音是人类主要的交流方式，该技术既便利又具吸引力。然而，此类技术亦存在已被证实的隐私威胁。语音作为交流工具，天然包含私人信息。更重要的是，它还蕴含大量旁侧信息，如与健康状况、情绪状态、社会归属及人际关系相关的信息——这些均属隐私范畴。此类隐私信息的泄露可能导致严重威胁，包括价格欺诈、骚扰、敲诈勒索及跟踪骚扰等。本文是关于语音技术相关隐私问题的综述教程，涵盖威胁建模、用户隐私保护方法、隐私保护方法的性能评估、隐私感知以及社会与法律后果。除教程性概述外，本文还指出了亟待改进的后续发展方向。