Search Results for author:
Found 2 papers, 1 papers with code
Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion
One-shot voice conversion (VC) with only a single target speaker's speech for reference has become a hot research topic.
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training
In this paper, a novel voice conversion framework, named $\boldsymbol T$ext $\boldsymbol G$uided $\boldsymbol A$utoVC(TGAVC), is proposed to more effectively separate content and timbre from speech, where an expected content embedding produced based on the text transcriptions is designed to guide the extraction of voice content.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
