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Thomas Pellegrini

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Jun 2026

BEST-RQ-2: Contextualize-Then-Predict, a Two-Step Approach for Self-Supervised Audio Representations

BEST-RQ-2 is presented, an evolution of BEST-RQ that retains frozen randomprojection-based discrete targets while introducing a two-step contextualize-then-predict pretraining scheme, and consistently outperforms one-stage baselines in overall transfer while keeping inference compute unchanged.

Ludovic Tuncay, Etienne Labbé, Thomas Pellegrini · 0 citations