BAT: Learning to Reason about Spatial Sounds with Large Language Models
The episode discusses the paper "BAT: Learning to Reason about Spatial Sounds with Large Language Models," which teaches large language models to understand spatial sounds in 3D space using binaural audio. The hosts detail the method involving a Spatial-AST encoder and a training curriculum, concluding that this work is a significant step toward enabling spatial reasoning in AI for applications like robotics and augmented reality.