produkt nebo technologie ve stavu vývoje, testování

The Brno Extended Stress and Speech Test (BESST) dataset is a new resource for the speech research community, offering multimodal audiovisual, physiological and psychological data that enable comprehensive investigations into the interplay between stress and speech. In this product, we introduce the BESST dataset and provide a detailed overview of its design, data collection protocols, and technical aspects. The dataset comprises speech samples, physiological signals (including electrocardiogram, electrodermal activity, skin temperature, and acceleration data), and video recordings from 90 subjects performing stress-inducing tasks. It comprises 16.9 hours of clean Czech speech data, averaging 15 minutes of clean speech per participant. The data collection procedure involves the induction of both cognitive and physical stress induced by Reading Span task (RSPAN) and Hand Immersion (HIT) task respectively. The BESST dataset was collected under stringent ethical standards and is accessible under permissive license for research and development.

stress recognition, multimodal data, speech research, physiological signals, cognitive load, speech production

11. 1. 2024

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https://www.fit.vut.cz/research/product/808/