Human-robot-interaction using cloud-based speech recognition systems
Human-robot-interaction using cloud-based speech recognition systems
复制标题
使用基于云的语音识别系统进行人机交互
DOI：
10.1016/j.procir.2020.05.214
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
J. Franke
中科院分区：
文献类型：
--
作者：
Christian Deuerlein;Moritz Langer;J. Sessner;Peter Heß;J. Franke
自然语音处理的进步使更强大的语音处理系统成为可能，这主要是由于机器学习技术的使用。为了集成基于云的人机交互语音识别系统，开发了一种轻型机器人语音控制接口。这项工作的主要贡献是设计和实现了一个软件接口，通过基于云的语音处理识别命令，并随后转换为机器可读的代码。确定了评估机器人控制的不同云服务的要求。此外，对机器人的控制体系结构进行了建模和实现。一个示例应用程序，使用户能够通过语音控制机器人的运动，实现作为概念的证明和进一步的研究。该应用程序包括基于云的语音处理的基本功能：从话语的意图识别，插槽填充和基于对话的交互。最后，通过实验考察了背景噪声对工艺安全的影响。结果表明，在存在背景噪声的情况下，该系统仍能获得可行的过程可靠性。
Progress in natural speech processing has enabled significantly more powerful speech processing systems, primarily due to the use of machine learning technologies. In order to integrate cloud-based speech recognition systems for human-robot interaction, an interface for the voice control of a lightweight robot was developed. The main contribution of this work is the design and implementation of a software interface to recognize commands via cloud-based speech processing and the subsequently conversion into machine-readable code. Requirements for the evaluation of different cloud-services for the control of robots are determined. Furthermore, the control architecture for the robot is modeled and implemented. An example application, which enables users to control robot movements via speech, is realized as a proof of concept and for additional studies. This application includes the basic features of cloud-based speech processing: intent recognition from utterances, slot filling and dialogue-based interaction. Lastly, the influence of background noise on process safety was examined within an experiment. It turns out that a feasible process reliability can be achieved with the system despite the presence of background noises.