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Stress during public speaking is common and adversely affects performance andself-confidence. Extensive research has been carried out to develop variousmodels to recognize emotional states. However, minimal research has beenconducted to detect stress during public speaking in real time using voiceanalysis. In this context, the current review showed that the application ofalgorithms was not properly explored and helped identify the main obstacles increating a suitable testing environment while accounting for currentcomplexities and limitations. In this paper, we present our main idea andpropose a stress detection computational algorithmic model that could beintegrated into a Virtual Reality (VR) application to create an intelligentvirtual audience for improving public speaking skills. The developed model,when integrated with VR, will be able to detect excessive stress in real timeby analysing voice features correlated to physiological parameters indicativeof stress and help users gradually control excessive stress and improve publicspeaking performance

Voice Analysis for Stress Detection and Application in Virtual Reality to Improve Public Speaking in Real-time: A Review