Recognising Evoked Emotion in Sound: Building and Implementing a Bespoke Dataset

Harrison Ridley is currently doing a PhD research on the topic Recognising Evoked Emotion in Sound: Building and Implementing a Bespoke Dataset

Harrison will discuss about gaps in existing research on Affective Audio, and  the aims to fill the gaps by creating a new dataset for application in non-musical sound-based affect research. The dataset will be used to train Machine Learning Models to predict the evoked emotion in sounds for use in film or TV.