Reproduce “SAIL: Spatial Audio Intelligence with Large Language Models via Disentangled Acoustic-Spatial Encoding and Dual-Stream Q-Former” on OpenResearch
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About this paper
Zhengding Luo, Jinyang Wu, Haozhe Ma, Yanghao Zhou, Woon-Seng Gan, Wenwu Wang
SAIL separates acoustic-content and binaural spatial cues, then organizes queries by source before sending them to a language model. On simulated SpatialSoundQA scenes with at most two sources, it reaches 46.65% accuracy on dual-source direction-of-arrival questions, versus 35.12% for BAT. Its gains are not uniform: single-source detection and distance prediction slightly favor BAT.
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