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Open dataset for distilling GPU audio2face models to CPU students

Open dataset for distilling GPU audio2face models to CPU students

by antonios_makro·Jun 9, 2026·1 point·0 comments

AI Analysis

MidNiche Gem

Yet another Hugging Face dataset in a sea of thousands.

Strengths
  • Paired audio with ARKit blendshape vectors enables direct distillation workflows.
  • Multiple emotion sources (CREMA-D, etc.) provide variety for training.
Weaknesses
  • Limited to CREMA-D corpus emotions, restricting real-world applicability.
  • No novel technique—just curated data on an already crowded platform.
Category
Target Audience

ML engineers working on facial animation and audio-driven models

Similar To

Hugging Face audio datasets · FaceWarehouse · VoxCeleb

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