Mind Your Mind: Real-Time Emotional Insights from Voice

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.

Authors

Publication Details

Published
2025-06-03
DOI
https://doi.org/10.38124/ijisrt/25may894
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Mind Your Mind: Real-Time Emotional Insights from Voice

Harshith Manoharan, R E Keerthana, N. Selvaganesh, P Logeswari
Emotion and Mood Recognition
article

Mind Your Mind: Real-Time Emotional Insights from Voice

Harshith Manoharan, R E Keerthana, N. Selvaganesh, P Logeswari
article en

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.

Openalex Percentile: Top 87%
Emotion and Mood Recognition
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