2022
DOI: 10.21203/rs.3.rs-2198948/v1
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Edge emotion recognition: applying fast Fourier transform on speech Mel spectrograms to classify emotion on a Raspberry Pi for near real-time analytics

Abstract: Many people and machines are inherently unable to interpret socio-affective cues such as tone of voice. Thoughtful adoption of intelligent technologies may improve the conversation. Since direct communication often occurs via edge devices, where an additional network connection is often not guaranteed, we now describe a real-time processing method that captures and evaluates emotions in a speech via a terminal device such as the Raspberry Pi computer. In this article, we also present the current state of resea… Show more

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