Research on Low Delay Audio Convolution Algorithm Combining Mobile and Cloud

Nowadays, intelligent mobile devices become most wide mobile multimedia terminals. But limited by performance and battery life, traditional audio architectures and algorithms cannot meet increasingly complex processing requirements. In this paper, the traditional audio convolution algorithm and audio architecture are analyzed. Based on the optimization of the block convolution algorithm, and combined with the cloud GPU, a dynamic task allocation low latency convolution algorithm is proposed under cloud hybrid systems. The experimental results show that the convolution algorithm can effectively reduce the workload of the mobile terminal, reduce the CPU usage of the mobile terminal, and realize the real-time audio mixing processing in complex scenes on mobile terminals with limited performance.