UML-based robotic speech recognition development: A case study

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.