Warming up adapters on linguistically related source languages via multitask learning or MAML improves low-resource ASR adaptation of frozen SSL models by up to 28% relative CER/PER over adapter-only PEFT.
Our so- lution adds an extra Intermediate Adaptation (IA) to warm up the adapter and downstream model initialization
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How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario
Warming up adapters on linguistically related source languages via multitask learning or MAML improves low-resource ASR adaptation of frozen SSL models by up to 28% relative CER/PER over adapter-only PEFT.