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Irwin King

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Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM

Experiments show that TextPro-SLM achieves the lowest modality gap among leading SLMs at both 3B and 7B scales, while also delivering strong overall performance on paralinguistic understanding tasks, suggesting that reducing the modality gap from the input side is both effective and data-efficient.

Wen-Qian Cui, Xiao-Hui Li, Da-Xin Tan et al. · 3 citations
Preprint Aug 2026

SpeechSense: A Paralinguistic-Focused Dataset for Fine-Grained Speech Sentiment Analysis

Recent advances in AI have revolutionized speech processing, yet effective speech understanding requires discerning not just what is said, but how it is said. Speech Sentiment Analysis plays a critical role in decoding these paralinguistic cues for diverse real-world applications such as recruitment and customer servic...

Shicheng Ma, Wen-Qian Cui, Irwin King · 0 citations

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