2 citations · 2 across the 13 of their papers we have counts for
5 papers · 1 filter
MMA-ASIA: A Multilingual and Multimodal Alignment Framework for Culturally-Grounded Evaluation
Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty +32
Large language models (LLMs) are now used worldwide, yet their multimodal understanding and reasoning often degrade outside Western, high-resource settings. We propose MMA-ASIA, a…
MultiGen: Child-Friendly Multilingual Speech Generator with LLMs
Xiaoxue Gao, Huayun Zhang, Nancy F. Chen
Generative speech models have demonstrated significant potential in improving human-machine interactions, offering valuable real-world applications such as language learning for ch…
Prompt-Unseen-Emotion: Zero-shot Expressive Speech Synthesis with Prompt-LLM Contextual Knowledge for Mixed Emotions
Xiaoxue Gao, Huayun Zhang, Nancy F. Chen
Existing expressive text-to-speech (TTS) systems primarily model a limited set of categorical emotions, whereas human conversations extend far beyond these predefined emotions, mak…
SingaKids: A Multilingual Multimodal Dialogic Tutor for Language Learning
Zhengyuan Liu, Geyu Lin, Hui Li Tan +8
The integration of generative artificial intelligence into educational applications has enhanced personalized and interactive learning experiences, and it shows strong potential to…
Confidence-Based Self-Training for EMG-to-Speech: Leveraging Synthetic EMG for Robust Modeling
Xiaodan Chen, Xiaoxue Gao, Mathias Quoy +2
Voiced Electromyography (EMG)-to-Speech (V-ETS) models reconstruct speech from muscle activity signals, facilitating applications such as neurolaryngologic diagnostics. Despite its…