Non-parallel Accent Transfer based on Fine-grained Controllable Accent Modelling
Linqin Wang,
Zhengtao Yu,
Yuanzhang Yang
et al.
Abstract:Existing accent transfer works rely on parallel data or speech recognition models. This paper focuses on the practical application of accent transfer and aims to implement accent transfer using non-parallel datasets. The study has encountered the challenge of speech representation disentanglement and modeling accents. In our accent modeling transfer framework, we manage to solve these problems by two proposed methods. First, we learn the suprasegmental information associated with tone to finely model the accen… Show more
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