A speech LLM fine-tuned with a fair-average loss outperforms BERT and wav2vec2 baselines on holistic L2 oral proficiency scoring, and transfers across test parts and datasets.
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Assessment of L2 Oral Proficiency using Speech Large Language Models
A speech LLM fine-tuned with a fair-average loss outperforms BERT and wav2vec2 baselines on holistic L2 oral proficiency scoring, and transfers across test parts and datasets.