End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network

no code implementations • 13 Oct 2021 • Yina Guo, Xiaofei Zhang, Zhenying Gong, Anhong Wang, Wenwu Wang

A potential approach to this problem is to design an end-to-end method by using a dual generative adversarial network (DualGAN) without dimension reduction of passing information, but it cannot realize one-to-one signal-to-signal translation (see Fig. 1 (a) and (b)).

Brain Computer Interface Dimensionality Reduction +4