Manoharan, Harshith and R E, Keerthana and Selvaganesh, N. and P, Logeswari (2025) Mind Your Mind: Real-Time Emotional Insights from Voice. International Journal of Innovative Science and Research Technology, 10 (5): 25may894. pp. 2982-2996. ISSN 2456-2165
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Abstract
The growing need for accessible mental health support highlights the importance of innovative digital solutions. Many individuals struggle to manage emotions, leading to heightened stress, anxiety, and a decline in well-being. Traditional methods like journaling or therapy, while beneficial, can often feel time-consuming, intimidating, or inaccessible. Current mental health apps frequently fall short, lacking emotional analysis. There is a rising demand for a non-intrusive, user- friendly solution can monitor emotions and provide meaningful insights outside conventional therapy. Mind Your Mind addresses the gap with a voice-based journaling system powered by emotional analysis. Using advanced speech processing, the platform evaluates tone, pitch, and sentiment to assess emotional states as users speak naturally by employing an AI- driven emotion recognition model, integrating Mel- Frequency Cepstral Coefficients (MFCC), Mel-Spectrograms, and Convolutional Neural Networks (CNNs) for accurate pattern recognition. The model achieves an accuracy of 92.3%, enabling reliable emotional detection. Users interact through an intuitive web interface, recording their thoughts and receiving immediate, actionable mood insights in textual format.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 19 Jun 2025 10:50 |
Last Modified: | 19 Jun 2025 10:50 |
URI: | https://eprint.ijisrt.org/id/eprint/1271 |