Multimodal Depression Detection from Speech and Text Using a Fusion Neural Network
The design, implementation, and empirical validation of a multimodal fusion neural network for automatic depression detection from speech and text, developed with specific attention to closing the near-total absence of African research contributions in this rapidly growing area of computing is presented.