AppleAnalysisAI ModelsAugust 21, 2026

Apple applies iterative pseudo-labeling to code-switching ASR

Read original source →machinelearning.apple.com

Apple's paper applies iterative pseudo-labeling to Mandarin-English code-switching ASR for the first time, achieving Mix Error Rate reductions of 6.35% on SEAME devman and 8.29% on devsge. The approach uses three phases: pseudo-label generation, two-stage bilingual training, and iterative refinement.

1 source

More stories today

Open the live feed