Analysis of Human Emotion via Speech Recognition Using Viola Jones Compared with Histogram of Oriented Gradients (HOG) Algorithm with Improved Accuracy

Mahitha E., Nagaraju V.

2023

Abstract

The objective of this study is to enhance the precision in predicting human emotions through speech signals. This is achieved by introducing a novel approach, the Viola Jones (VJ) method, in contrast to the conventional Histogram of Oriented Gradients (HOG) algorithm. In this research we used Toronto Emotional Speech Set (TESS) as a dataset for this with a G-power of 0.8, alpha and beta values of 0.05 and 0.2, and a Confidence Interval of 95%, sample size is calculated as twenty (ten from Group 1 and ten from Group 2). Viola Jones (VJ) and Histogram of Oriented Gradients, both with the same amount of data samples (N=10), are used to perform the prediction of human emotion recognition from speech signals. The performance of the proposed viola jones is much greater than the accuracy rate of 88.65 percent achieved by the histogram of oriented gradients classifier. This is because the success rate of the proposed viola jones is 95.66 percent. The level of significance that was assessed to be attained by the research was p = 0.001 (p<0.05) which infers the two groups are statistically significant. For the performance evaluation of human emotion classification from speech data, the proposed Viola Jones (VJ) model achieves a greater level of precision than Histogram of Oriented Gradients (HOG).

Paper Citation

in Harvard Style

E. M. and V. N. (2023). Analysis of Human Emotion via Speech Recognition Using Viola Jones Compared with Histogram of Oriented Gradients (HOG) Algorithm with Improved Accuracy. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 564-570. DOI: 10.5220/0012569300003739

in Bibtex Style

@conference{ai4iot23,
author={Mahitha E. and Nagaraju V.},
title={Analysis of Human Emotion via Speech Recognition Using Viola Jones Compared with Histogram of Oriented Gradients (HOG) Algorithm with Improved Accuracy},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={564-570},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012569300003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Analysis of Human Emotion via Speech Recognition Using Viola Jones Compared with Histogram of Oriented Gradients (HOG) Algorithm with Improved Accuracy
SN - 978-989-758-661-3
AU - E. M.
AU - V. N.
PY - 2023
SP - 564
EP - 570
DO - 10.5220/0012569300003739
PB - SciTePress