Stress, Arousal, and Stress Detector Trained on Acted Speech Database

Sabo, Róbert; Rusko, Milan; Ridzik, Andrej; Rajčáni, Jakub

doi:10.1007/978-3-319-43958-7_82

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…Speech is a psychophysiological process, influenced by environmental and/or internal challenges and reflects the level of stress [9], which entitles us to believe that the acoustic properties of speech can be used to estimate stress. As an example of an attempt at practical application, we can mention the Stressometer and Stress Tracker -a mobile application that provides the user with a graphic representation reflecting the measured stress [10].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Stress Level from Speech -- from Database to Regressor

Trnka,

Darjaa,

Sabo

et al. 2023

cai

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The term stress can designate a number of situations and affective reactions. This work focuses on the immediate stress reaction caused by, for example, threat, danger, fear, or great concern. Could measuring stress from speech be a viable fast and non-invasive method? The article describes the development of a system predicting stress from voice -from the creation of the database, and preparation of the training data to the design and tests of the regressor. StressDat, an acted database of speech under stress in Slovak, was designed. After publishing the methodology during its development in [1], this work describes the final form, annotation, and basic acoustic analyses of the data. The utterances presenting various stress-inducing scenarios were acted at three intended stress levels. The annotators used a "stress thermometer" to rate the perceived stress in the utterance on a scale from 0 to 100. Thus, data with a resolution suitable for training the regressor was obtained. Several regressors were trained, tested and compared. On the test-set, the stress estimation works well (R square = 0.72, Concordance Correlation Coefficient = 0.83) but practical application will require much larger volumes of specific training data. StressDat was made publicly available.

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Section: Introductionmentioning

confidence: 99%

Prediction of Stress Level from Speech -- from Database to Regressor

Trnka,

Darjaa,

Sabo

et al. 2023

cai

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Enhancing Air Traffic Management Security by Means of Conformance Monitoring and Speech Analysis

Rusko

Trnka

Darjaa

et al. 2018

Topics in Intelligent Engineering and Informatics

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