Papers with Spoken-LLM

1 papers
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations (2024.acl-long)

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Challenge: In spoken dialogue, even if two current turns are the same sentence, their responses might differ when they are spoken in different styles.
Approach: They propose a language-to-speech dataset that can model linguistic content and speaking styles.
Outcome: The proposed framework outperforms text-only baselines and prior speech LLMs methods.

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