SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays

Excerpt

arXiv:2610.05610v1 Announce Type: cross Abstract: Embodied, ego-centric intelligence fundamentally requires the ability to comprehend spatial audio within complex environments. While large audio-language models excel at mono-channel reasoning, they lack spatial awareness, discarding critical spatial cues that enable sound localization and that can improve the disentanglement of overlapping sound sources. To address this, we present SEA-LM, a Spatial Audio Understanding model. First, we introduce