LK Jam: System Architecture and Implementation of a Real-Time Human-AI Interactive Music Generation System using Role-Aware GRU

The LK_Jam system is a real-time, bidirectional human-computer interactive music generation framework utilizing a lightweight Gated Recurrent Unit (GRU) architecture. It features a multi-dimensional sparse event stream for dynamic music interaction, a strict multithreaded lock-free communication bridge, and employs the RTNeural inference engine to maintain low-latency performance with \(O(1)\) complexity in autoregressive decoding. This approach enables high-quality musical coherence and role-aware interaction, making it a significant advancement for practitioners developing AI systems in live music settings.