Donghyun Seong

Adversarial Learning on Compressed Posterior Space for Non-Iterative Score-based End-to-End Text-to-Speech

Score-based generative models have shown the real-like quality of synthesized speech in the text-to-speech (TTS) area. However, the critical artifact of score-based models is the requirement of a high computational cost due to the iterative sampling algorithm, and it also makes it difficult to fine-…