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eess.AS2026
SelfTTS: cross-speaker style transfer through explicit embedding disentanglement and self-refinement using self-augmentation
Lucas H. Ueda, João G. T. Lima, Pedro R. Corrêa +3
This paper presents SelfTTS, a text-to-speech (TTS) model designed for cross-speaker style transfer that eliminates the need for external pre-trained speaker or emotion encoders. T…
eess.AS2024
Improving Data Augmentation-based Cross-Speaker Style Transfer for TTS with Singing Voice, Style Filtering, and F0 Matching
Leonardo B. de M. M. Marques, Lucas H. Ueda, Mário U. Neto +4
The goal of cross-speaker style transfer in TTS is to transfer a speech style from a source speaker with expressive data to a target speaker with only neutral data. In this context…