PRISM Provides Training-Free Denoising for Audio-Text Foundation Models
August 14, 2026
PRISM is a training-free, source-free Test-Time Adaptation framework that uses frozen text prototypes to reverse acoustic noise in latent spaces. It operates on the Affine Noise Hypothesis, which posits that severe noise can be modeled as a low-rank affine shift.
HOW THIS AFFECTS YOU
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builderYou can improve the robustness of audio-text models in noisy environments without retraining.
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researcherThis offers a new way to approach multimodal adaptation using geometric anchors in latent space.