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cs.SD2026
What Makes Synthetic Speech Sound Sarcastic? A Prosody-Controlled Perception Study
Zhu Li, Shekhar Nayak, Matt Coler
Prosody plays an important role in sarcasm perception, yet previous studies have relied on naturally produced speech that lacks fine-grained control over individual acoustic dimens…
cs.CL2026
Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation
Reihaneh Amooie, Yun Hao, Wietse de Vries +3
This study explores how bilingual fine-tuning affects automatic speech recognition (ASR) in low-resource languages. We evaluate this method across nine linguistically and geographi…
cs.MM2026
SarcasmMiner: A Dual-Track Post-Training Framework for Robust Audio-Visual Sarcasm Reasoning
Zhu Li, Yongjian Chen, Huiyuan Lai +3
Multimodal sarcasm detection requires resolving pragmatic incongruity across textual, acoustic, and visual cues through cross-modal reasoning. To enable robust sarcasm reasoning wi…