A diffusion-based pipeline is proposed for simultaneous language translation and accent change, but only text-to-speech subtasks are evaluated and the combined S2ST result is not demonstrated.
Unsupervised speech rep- resentation learning using wavenet autoencoders
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Language translation, and change of accent for speech-to-speech task using diffusion model
A diffusion-based pipeline is proposed for simultaneous language translation and accent change, but only text-to-speech subtasks are evaluated and the combined S2ST result is not demonstrated.