ChipChat: Low-Latency Cascaded Conversational Agent in MLX
ChipChat introduces a novel low-latency cascaded system for real-time on-device voice agents, integrating streaming speech recognition, large language models, text-to-speech, vocoder, and speaker modeling. Implemented in MLX, the system achieves sub-second response latency on a Mac Studio without dedicated GPUs, enabling privacy-preserving, fully on-device processing. The work demonstrates that architectural innovations and streaming optimizations can overcome traditional latency bottlenecks in cascaded systems.
Why it matters: This research provides a practical solution for real-time, privacy-preserving voice-based AI agents on consumer hardware, addressing a key challenge in deploying conversational AI locally.
Full story at: arXiv Audio and Speech Processing ↗