Human-robot-interaction using cloud-based speech recognition systems

Deuerlein C, Langer M, Seßner J, Heß P, Franke J (2020)


Publication Type: Conference contribution

Publication year: 2020

Journal

Publisher: Elsevier B.V.

Book Volume: 97

Pages Range: 130-135

Conference Proceedings Title: Procedia CIRP

Event location: Athens GR

DOI: 10.1016/j.procir.2020.05.214

Abstract

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.

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How to cite

APA:

Deuerlein, C., Langer, M., Seßner, J., Heß, P., & Franke, J. (2020). Human-robot-interaction using cloud-based speech recognition systems. In Sotiris Makris (Eds.), Procedia CIRP (pp. 130-135). Athens, GR: Elsevier B.V..

MLA:

Deuerlein, Christian, et al. "Human-robot-interaction using cloud-based speech recognition systems." Proceedings of the 8th CIRP Conference of Assembly Technology and Systems, CATS 2020, Athens Ed. Sotiris Makris, Elsevier B.V., 2020. 130-135.

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