CNN-Transformer Based Speech Emotion Detection

In this study, a parallel network technique trained on the Ryerson Audio-Visual Dataset of Speech and Song (RAVDESS) was used to perform an autonomous speech emotion recognition (SER) challenge to categorize four distinct emotions. To capture both spatial and temporal data, the architecture comprise... View More