We introduce Hello-Chat, an end-to-end Large Audio Language Model (LALM) tailored for real-world conversational scenarios. The model achieves state-of-the-art performance on specific understanding benchmarks and significantly outperforms existing open-source systems in prosodic naturalness, emotional accuracy, and interaction fluency. By explicitly modeling fine-grained acoustic perception and cross-modal alignment, Hello-Chat enables realistic, context-aware spoken interaction between users and AI.
Figure 1: The overall architecture of Hello-Chat.
Single-turn audio synthesis grouped by reference speaker.
Context-aware human-like conversation with unified text and speech generation (Tester ↔ Bot, Zero-shot).