1. Stress detection from speech signal using mfcc, svm and machine learning techniques
Authors : Dr. Bageshree Pathak, Chinmayi Dhole, Harshada Hajare, Mrunal Zambare
Pages : 41-44
DOI : http://dx.doi.org/10.21172/1.173.06
Keywords : Machine Learning, Feature Extraction, MFCC, SVM Abstract :Due to overtime and frequent rotating shifts, police officers experience stress. This results in poor mental and physical health. Central Police Research (CPR), in collaboration with Cummins College of Engineering for Women, Pune and SNDT Arts & Commerce College will be developing a Stress Detection System from Speech. Feature extraction techniques like Mel Frequency Cepstral Coefficients (MFCCs) and classifiers like Support Vector Machine (SVM) are implemented in this project for detecting stress in speech.
Citing this Journal Article :Dr. Bageshree Pathak, Chinmayi Dhole, Harshada Hajare, Mrunal Zambare, "Stress detection from speech signal using mfcc, svm and machine learning techniques", Volume 17 Issue 3 - September 2020, 41-44
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