Aug. 3, 2022, 1:10 a.m. | Arushi, Roberto Dillon, Ai Ni Teoh, Denise Dillon

cs.LG updates on arXiv.org arxiv.org

Stress during public speaking is common and adversely affects performance and
self-confidence. Extensive research has been carried out to develop various
models to recognize emotional states. However, minimal research has been
conducted to detect stress during public speaking in real time using voice
analysis. In this context, the current review showed that the application of
algorithms was not properly explored and helped identify the main obstacles in
creating a suitable testing environment while accounting for current
complexities and limitations. In …

analysis application arxiv detection public public speaking reality real-time review stress time virtual virtual reality voice

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior AI & Data Engineer

@ Bertelsmann | Kuala Lumpur, 14, MY, 50400

Analytics Engineer

@ Reverse Tech | Philippines - Remote