ANALYSIS AND EVALUATION OF ROMANIAN VOICE COMMANDS FOR THE CONTROL OF MECHATRONIC SYSTEMS
DOI:
https://doi.org/10.52326/jes.utm.2024.31(4).06Keywords:
industrial processes, robotic systems, human-machine interaction, natural language processing, voice recognition, emotional voice control, exceptional situations, neural network, emergency interventionAbstract
This paper focuses on the analysis and evaluation of voice commands for controlling mechatronic systems in exceptional situations. It highlights the role and benefits of mechatronic devices in modern society, emphasizing their use across various fields, from industrial process automation and infrastructure to consumer electronics and energy. Significant benefits of these devices, such as comfort, efficiency, and technological innovation, are outlined, along with the risks associated with their use, including short circuits and electro-mechanical failures. The research is directed towards integrating voice emotion recognition technologies into the control systems of household appliances to handle exceptional situations. Emotion recognition from speech, based on artificial intelligence and voice signal processing, is described as an interdisciplinary approach that combines audio processing, voice feature extraction, and machine learning. The objectives include developing effective techniques and methods to classify emotions and ensure the safe operation of devices. Research results show the potential of these techniques and technologies to transform interactions with mechatronic systems, offering innovative solutions for enhancing performance and reducing the risks associated with complex activities. The study opens new directions for integrating artificial intelligence into production processes and creating safer, more intuitive working environments.
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