WaveGlow
2000년 도입 · 논문 21편에서 사용
WaveGlow is a flow-based generative model that generates audio by sampling from a distribution. Specifically samples are taken from a zero mean spherical Gaussian with the same number of dimensions as our desired output, and those samples are put through a series of layers that transforms the simple distribution to one which has the desired distribution.
출처: WaveGlow: A Flow-based Generative Network for Speech Synthesis
소개 논문: WaveGlow: A Flow-based Generative Network for Speech Synthesis
Generative Audio Models · Audio