Cluster Assignments in Soft Targets Shape Speech Representations: Evidence from S-JEPA

arXiv:2608.19084 · cs.LG, cs.SD · Submitted 2026-08-19 · Read on arXiv

cs.LG, cs.SD

Submitted: 2026-08-19

Updated: 2026-09-24

Comments: 5 pages, 3 figures, 1 table

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Self-Supervised Learning — 3× in this paper · explained in 7 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Gaussian Mixture Model (GMM) — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Self-distillation — 1× in this paper · explained in 6 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• S-JEPA : Soft Clustering Anchors for Self-Supervised Speech Representation Learning

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