A pretrained speech classifier is repurposed as a backbone for guided diffusion-based speech generation. By attaching a lightweight subnetwork and training it under denoising score matching, the approach achieves high speech quality with reduced memory and computational cost, using a single model instead of two separately trained components.
arxiv
arXiv cs.LG
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51d ago
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research
Repurposing Speech Classifier for Diffusion-Based Generation
from English
Importance 2/3
New harness with differentiators
arXiv cs.LG
Hugging Face
Google DeepMind
NVIDIA
Image generation
Training methods
Voice & audio
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