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Abstract—In this study, we focus on the discontinuity of samples distribution in the feature space due to the existence of different stress levels.
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In this study, a multimodal human stress classification scheme in response to real-life public speaking activity is proposed.
Aug 6, 2021 · Fundamental frequency, Harmonics-to-Noise Ratio, and jitter are such speech parameters that have been found to change in stressed subjects ( ...
Because these digital devices are ubiquitous, we can now assess individuals' stress levels in real time in almost any natural environment in which people speak.
In this paper, the glottal speech during the pronouncing vowel /a/ are analyzed. This is done by determination and evaluation of structure of pitch harmonics ...
Nov 12, 2024 · We present an original empirical dataset collected using the BESST experimental protocol for capturing speech signals under induced stress.
The study [12] highlights the potential of using deep learning models such as CNN and BiLSTM for stress detection from speech signals and provides valuable ...
This article explored machine learning-based stress detection tests. PhysioBank stress levels. Gradient boost properly measured stress utilizing statistical.
We present cross-corpus and transfer learning results which explore the efficacy of the speech signal to predict three physiological markers of stress.
The purpose of this article is to describe emerging approaches for assessing stress using speech, which we do by reviewing the methodological advantages ...