Papers by Suho Yoo
Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models (2025.findings-acl)
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| Challenge: | Existing approaches to augment language models with audio databases lack the ability to understand auditory signals like humans. |
| Approach: | They propose a method that augments language models with audio databases to generate auditory knowledge . their framework detects multiple audio-related textual spans from the given prompt . |
| Outcome: | The proposed approach achieves state-of-the-art performance on AuditoryBench without external databases. |
Speculative End-Turn Detector for Efficient Speech Chatbot Assistant (2026.acl-long)
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| Challenge: | Spoken dialogue systems with large language models struggle with end-turn detection . this limitation often leads to premature or delayed responses, disrupting the flow of spoken conversations. |
| Approach: | They propose a dataset for end-turn detection that uses a lightweight GRU-based model and a high-performance Wav2vec-based system to make a more challenging classification of distinguishing turn ends from mere pauses. |
| Outcome: | The proposed framework significantly improves real-time ETD accuracy while keeping computations low. |