SEmoEdit: Probing and Harnessing the Editability of Pre-trained Speech Flows.

arXiv:2609.34648v1 Announce Type: cross Abstract: Existing training-based speech emotion editing methods often require substantial task-specific training and can be unstable. This motivates us to investigate whether the pretrained generative dynamics of large-