International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Psychological Stress Detection from Voice Using Deep Learning |
|---|---|
| ABSTRACT | The prevalent problem of mental distress in contemporary society evolves to a severe issue that impacts mental and emotional conditions of people. The continuous existence of stress involves negative influence to cognitive functions and decision-making abilities and full working performance. The identification of psychological stress at an early stage allows its measurements to reduce their impact at a time when it improves the methods of treating mental health. The study presents a multimodal system of deep learning that identifies psychological distress by examining speech and written words. The system is based on the learning of particular acoustic features of speech data by a neural network model, CNN + LSTM, and a transformer-based language model that learns about the development of language patterns in written text. The researchers relied on the RAVDESS dataset to evaluate the speech emotion recognition and the Dreaddit dataset to test the ability to detect textual stress. It was observed that the text-based model has accuracy of 86.8 and speech-based model is 96.11 and ROC-AUC= 0.93. The results suggest that the automated stress detection systems prove to be more effective when both acoustic and linguistic data are employed. |
| AUTHOR | RAMYAKRISHNA KADIYALA, B MADHAV RAO, VYUHITA GUNUPUDI, CHANIKYA DURGA VARA PRASAD G Assistant Professor, Dept. of CSE, Sir C R Reddy College of Engineering, Eluru, India Professor, Dept. of CSE, Sir C R Reddy College of Engineering, Eluru, India B. Tech Student, Dept.of CSE, Sir C R Reddy College of Engineering, Eluru., India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403059 |
| pdf/59_Psychological Stress Detection from Voice.pdf | |
| KEYWORDS | |
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