Abstract: We propose a joint training scheme of an any-to-one voice conversion (VC) system with LPCNet to improve the speech naturalness, speaker similarity, and intelligibility of the converted ...

Abstract: Current sEMG-based speech generation methods primarily rely on large-scale datasets from single participants, which imposes a burden on users. Moreover, previous research methods often ...