Edge Container for Speech Recognition

Containerization has been mainly used in pure software solutions, but it is gradually finding its way into the industrial systems. This paper introduces the edge container with artificial intelligence for speech recognition, which performs the voice control function of the actuator as a part of the...

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Bibliographic Details
Published in:Electronics (Basel) 2021-10, Vol.10 (19), p.2420
Main Authors: Beňo, Lukáš, Pribiš, Rudolf, Drahoš, Peter
Format: Article
Language:English
Subjects:
Actuators
Artificial intelligence
Cloud computing
Computer architecture
Configurations
Containerization
Containers
Edge computing
Internet of Things
Libraries
Man-machine interfaces
Network latency
Privacy
Software
Speech
Speech recognition
Voice control
Voice recognition
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Summary:Containerization has been mainly used in pure software solutions, but it is gradually finding its way into the industrial systems. This paper introduces the edge container with artificial intelligence for speech recognition, which performs the voice control function of the actuator as a part of the Human Machine Interface (HMI). This work proposes a procedure for creating voice-controlled applications with modern hardware and software resources. The created architecture integrates well-known digital technologies such as containerization, cloud, edge computing and a commercial voice processing tool. This methodology and architecture enable the actual speech recognition and the voice control on the edge device in the local network, rather than in the cloud, like the majority of recent solutions. The Linux containers are designed to run without any additional configuration and setup by the end user. A simple adaptation of voice commands via configuration file may be considered as an additional contribution of the work. The architecture was verified by experiments with running containers on different devices, such as PC, Tinker Board 2, Raspberry Pi 3 and 4. The proposed solution and the practical experiment show how a voice-controlled system can be created, easily managed and distributed to many devices around the world in a few seconds. All this can be achieved by simple downloading and running two types of ready-made containers without any complex installations. The result of this work is a proven stable (network-independent) solution with data protection and low latency.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics10192420