Contrastive Learning for Task-Independent SpeechLLM-Pretraining (2025.findings-acl)
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| Challenge: | Large language models excel in speech processing tasks but their reliance on written text limits their application in real-world scenarios. |
| Approach: | They propose a task-independent speech pretraining stage and task-specific fine-tuning stage to adapt LLMs to speech processing tasks. |
| Outcome: | The proposed model outperforms models specialized on speech translation and question answering while being trained on 10% of the task-specific data. |
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