论文标题
JACO：一个离线运行隐私感知的语音助手
Jaco: An Offline Running Privacy-aware Voice Assistant
论文作者
论文摘要
随着言语技术的最新进步，智能语音助手得到了改善，现在许多人使用了。但是，这些助手通常是在线运行，作为云服务，并不总是以良好的保护用户隐私而闻名。本文介绍了一个名为Jaco的新颖语音助手的架构，并具有以下功能：（a）即使在Raspberrypi等低资源设备上，它也可以完全离线运行。 （b）通过技能概念，它很容易扩展。 （c）架构重点是保护用户的隐私，但没有限制开发人员的功能。 （d）它支持多种语言。 （e）它与其他语音助手解决方案具有竞争力。在这方面，助手结合并扩展了其他方法的优势。
With the recent advance in speech technology, smart voice assistants have been improved and are now used by many people. But often these assistants are running online as a cloud service and are not always known for a good protection of users' privacy. This paper presents the architecture of a novel voice assistant, called Jaco, with the following features: (a) It can run completely offline, even on low resource devices like a RaspberryPi. (b) Through a skill concept it can be easily extended. (c) The architectural focus is on protecting users' privacy, but without restricting capabilities for developers. (d) It supports multiple languages. (e) It is competitive with other voice assistant solutions. In this respect the assistant combines and extends the advantages of other approaches.
