PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.

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.

Artistic research deconstructing the performative excess of motivational western subcultures

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"