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by chipro on 2018-11-08 (UTC).

Combining insights from Glow and WaveNet, WaveGlow is a flow-based network capable of generating fast, high-quality speech from mel-spectrograms without the need for auto-regression. Both code and paper are now published. Great work by @ctnzr's team at @NVIDIA! https://t.co/m8gB0yyK7C

— Chip Huyen (@chipro) November 8, 2018
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by ml_review on 2018-11-09 (UTC).

WaveGlow: A Flow-based Generative Network for Speech Synthesis
By NVIDIA (@DeepPrenger @RafaelValleArt @ctnzr)

Generates HQ speech from mel-spectrograms 25x faster than real time on V100 GPU

PyTorch + Pretrainedhttps://t.co/IzCHtPjow0
ArXivhttps://t.co/HlVltjrZzl pic.twitter.com/VtIZWBE9sl

— ML Review (@ml_review) November 9, 2018
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