Unlocking Speech Instruction Data Potential with Query Rewriting (2025.findings-acl)
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| Challenge: | Existing LLMs lack datasets and biased training tasks to follow speech instructions. |
| Approach: | They propose a query rewriting framework that uses multiple agents to annotate and validate the synthesized speech. |
| Outcome: | The proposed framework can transform text instructions into distributions more suitable for TTS models for speech synthesis without human annotation. |
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