3 papers
cs.CL2026
PROST-LLM: Progressively Enhancing the Speech-to-Speech Translation Capability in LLMs
Jing Xu, Jiaqi Wang, Daxin Tan +1
Although Large Language Models (LLMs) excel in many tasks, their application to Speech-to-Speech Translation (S2ST) is underexplored and hindered by data scarcity. To bridge this g…
eess.AS2025
Enhancing Code-switched Text-to-Speech Synthesis Capability in Large Language Models with only Monolingual Corpora
Jing Xu, Daxin Tan, Jiaqi Wang +1
While Large Language Models (LLMs) have shown potential in speech generation and recognition, their applications are mainly confined to monolingual scenarios, with limited explorat…
cs.CV2025
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
Kai Chen, Yunhao Gou, Runhui Huang +28
GPT-4o, an omni-modal model that enables vocal conversations with diverse emotions and tones, marks a milestone for omni-modal foundation models. However, empowering Large Language…