This project explores zero-shot emotional speech synthesis using EMOD, a novel approach combining emotion and content embeddings for multilingual and cross-lingual emotion transfer. Built on a VITS-based TTS model, it preserves speaker identity while enhancing expressiveness, enabling emotion transfer across languages and genders efficiently.
☆18Dec 22, 2025Updated 3 months ago
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