Emotion Speech Synthesis Method Based on Multi-Channel Time–Frequency Domain Generative Adversarial Networks (MC-TFD GANs) and Mixup

As one of the most challenging and promising topics in speech field, emotion speech synthesis is a hot topic in current research. At present, the emotion expression ability, synthesis speed and robustness of synthetic speech need to be improved. Cycle-consistent Adversarial Networks (CycleGAN) provides a two-way breakthrough in the transformation of emotional corpus information. But there is still a gap between the real target and the synthesis...