NAVER LABS Europe Submission to the Instruction-following Track
About
In this paper we describe NAVER LABS Europe submission to the instruction-following speech processing short track at IWSLT 2025. We participate in the constrained settings, developing systems that can simultaneously perform ASR, ST, and SQA tasks from English speech input into the following target languages: Chinese, Italian, and German. Our solution leverages two pretrained modules: (1) a speech-to-LLM embedding projector trained using representations from the SeamlessM4T-v2-large speech encoder; and (2) LoRA adapters trained on text data on top of a Llama-3.1-8B-Instruct. These modules are jointly loaded and further instruction-tuned for 1K steps on multilingual and multimodal data to form our final system submitted for evaluation.
Beomseok Lee, Marcely Zanon Boito, Laurent Besacier, Ioan Calapodescu• 2025
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Speech Translation / Machine Translation | CoVoST2, EuroParlST Weighted Average (test) | Score (en-de)77.3 | 9 | |
| Speech Question Answering | LibriSQA Part I 1.0 | Accuracy82 | 7 | |
| Speech Question Answering | LibriSQA Part II 1.0 | Accuracy63 | 7 | |
| Automatic Speech Recognition | LibriSpeech (clean other), EuroParlST, CoVoST2 (Weighted Average) (test) | WER7.3 | 5 | |
| Spoken Question Answering | LibriSQA Part I and Part II | MCIF41.7 | 4 | |
| Automatic Speech Recognition | LibriSpeech clean other EuroParlST CoVoST2 | MCIF12.6 | 4 |
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