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UML-based robotic speech recognition development: A case study

机译:基于UML的机器人语音识别开发:一个案例研究

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The development of automatic speech recognition (ASR) systems plays a crucial role in their performance as well as their integration with spoken dialogue systems for controlling service robots. However, to the best of our knowledge, there is no research in the literature addressing the development of ASR systems and their integration with service robots from the software engineering perspective. Therefore, we propose in this paper a set of software engineering diagrams supporting a rapid development of ASR systems for controlling service robots. The proposed diagrams are presented in terms of a case study based on our speech recognition system, called RoboASR. The internal structure of this system is composed of five threads running concurrently to optimally carry out the various speech recognition processes along with the interaction with the dialogue manager of service robots. The diagrams proposed in this paper are presented in terms of the COMET method which is designed for describing practical and concurrent systems.
机译:自动语音识别(ASR)系统的开发在其性能以及与用于控制服务机器人的口语对话系统的集成中起着至关重要的作用。但是,据我们所知,从软件工程的角度来看,没有文献涉及ASR系统的开发及其与服务机器人的集成。因此,我们在本文中提出了一套软件工程图,以支持用于控制服务机器人的ASR系统的快速开发。根据基于我们的语音识别系统RoboASR的案例研究,提出了建议的图表。该系统的内部结构由同时运行的五个线程组成,以最佳地执行各种语音​​识别过程以及与服务机器人的对话管理器进行交互。本文中提出的图以用于描述实际系统和并发系统的COMET方法表示。

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