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Unofficial Pytorch implementation of SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speaker text-to-speech

License: MIT License

Python 94.26% Jupyter Notebook 4.83% Cython 0.91%
text-to-speech zero-shot

snac's People

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ishine innnky maxmax2016 aixingxy awakingswings amorjnyh deyituo zhangziliang04 silyfox entn-at saber5433

snac's Issues

Proposed+REF+FLOW ?

Hello, are there any intensions to implement "Proposed+REF+FLOW" along with the already implemented "Baseline + REF + FLOW"

Thanks in advance.

kl loss 발산 관련

안녕하세요. SNAC 논문 잘 봤습니다!
현재 저는 proposed + pre-trained + flow 형태로 만들고 있는데요.
snac관련 부분은 해당 코드를 그대로 가져와서 구현했습니다(loss도 변경완료했습니다)
그런데 kl loss가 계속 nan으로 발산하는데 혹시 추가적으로 이런현상을 제어하기위해 코드변경하신부분이 있으신가요?
아니면 이런 현상을 겪어 보신적이 있으시면 해결방법 알려주시면 감사하겠습니다.
감사합니다.

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