Ziva_da_si

: It explores how to train Text-to-Speech (TTS) models that can speak hundreds of languages, even those with very limited data [1].

: It uses a unique architecture that separates speaker identity from linguistic content, allowing for high-quality voice cloning across different languages [2]. ziva_da_si

: The paper demonstrates the ability of the model to synthesize speech in a new language without seeing a single training example of that specific language [1]. : It explores how to train Text-to-Speech (TTS)