arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral
Efficient Text-to-Audio Generation via Pruning
Publisher summary· verbatim
arXiv:2607.13330v1 Announce Type: cross Abstract: Diffusion-based text-to-audio generative models such as AudioLDM achieve high perceptual quality and strong semantic consistency; however, their practical deployment is hindered by the substantial computational cost of the U-Net denoising backbone. I
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Originally published on arxiv ↗