ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks

27 May 2019Xiaoqi JiaJianwei TaiHang ZhouYakai LiWeijuan ZhangHaichao DuQingjia Huang

Despite the remarkable progress made in synthesizing emotional speech from text, it is still challenging to provide emotion information to existing speech segments. Previous methods mainly rely on parallel data, and few works have studied the generalization ability for one model to transfer emotion information across different languages... (read more)

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