“Smart Emotion Detection: An AI and IoT Approach to Speech Analysis”

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Deepti Sharma, Archana B. Saxena, Deepshikha Aggarwal

Abstract

In order to evaluate and interpret emotional states from voice signals in real-time, this study offers an AI-driven speech emotion detection system that makes use of Internet of Things (IoT) technologies. Intelligent systems that can comprehend human emotions are becoming more and more necessary as AI and IoT merge. These systems can improve user experience in a variety of applications, such as adaptive learning environments and mental health monitoring. After extracting pertinent features from audio samples using sophisticated signal processing techniques, the suggested system implements machine learning models such as subtle displays of emotion. IoT integration makes it easier to collect and process data in real time, proving the system's usefulness. Future advancements in emotion detection and analysis are made possible by this research, which helps create AI systems that are more sensitive and adaptive.

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How to Cite
Deepti Sharma, Archana B. Saxena, Deepshikha Aggarwal. (2024). “Smart Emotion Detection: An AI and IoT Approach to Speech Analysis”. European Economic Letters (EEL), 14(4), 1753–1758. Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/2308
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