Development of Natural Emotional Speech Database for Training Automatic Recognition Systems of Stressful Emotions in Human-Robot Interaction

Alimuradov, Alan K.; Tychkov, Alexander Yu.; Mezhina, Viktoriya A.; Fokina, Ekaterina; Zhurina, Angelina; Ageykin, Alexey V.; Gorbunov, Valery N.; Рева, Е К

doi:10.1109/dcnair50402.2020.9216940

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…Recent years have witnessed immense progress in this modelling. This partly also results in the creation of and public access to several speech databases, which are specifically dedicated to research on emotions and expressiveness in speech ( [4], [5]).…”

Section: Introductionmentioning

confidence: 99%

StressDat – Database of speech under stress in Slovak

Sabo

Beňuš

Trnka

et al. 2021

Journal of Linguistics/Jazykovedný Casopis

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The paper describes methodology for creating a Slovak database of speech under stress and pilot observations. While the relationship between stress and speech characteristics can be utilized in a wide domain of speech technology applications, its research suffers from the lack of suitable databases, particularly in conversational speech. We propose a novel procedure to record acted speech in the home of actors and using their own smartphones. We describe both the collection of speech material under three levels of stress and the subsequent annotation of stress levels in this material. First observations suggest a reasonable inter-annotator agreement, as well as interesting avenues for the relationship between the intended stress levels and those perceived in speech.

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Section: Introductionmentioning

confidence: 99%