Deep Digital Joint Source-Channel Based Wireless Speech Transmission
Mohammad Bokaei, Jesper Jensen, Simon Doclo, Jan Stubbe Østergaard · 2024
In this paper, we study low-latency speech transmission over a wireless channel based on deep digital Joint Source-Channel Coding (JSCC). Inspired by recent advances in quantization techniques in the realm of JSSC problems, we explore the feasibility of employing constellation-constrained deep JSCC for speech transmission. Our proposed system leverages a single DNN to jointly handle source coding, channel coding, and direct output mapping to specific constelltion points. We demonstrate the ability of the joint system to operate effectively under various latency constraints while outperforming separate systems, especially in adverse channel conditions. Simulation results validate the efficacy of our approach, highlighting its potential for real-world applications requiring low-latency speech transmission over wireless channels.