Papers by Soyoon Kim
Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models (2026.acl-industry)
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| Challenge: | Existing high-quality conversational data is limited for full-duplex models . overlapping and backchanneling are a challenge for most systems . |
| Approach: | They propose a robust and scalable open-source data processing pipeline for full-duplex models. |
| Outcome: | The proposed pipeline can listen and speak simultaneously, supporting more fluid and human-like interaction. |