SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays
SEA-LM, a Spatial Audio Understanding model, a layout-flexible spatial audio encoder trained on source localization and ego-centric voice activity detection objectives to encode First Order Ambisonics derived from variable-count, variable-position smart-glasses arrays via beamforming is presented.
Sonal Kumar, Sinan Hersek, Artem Dementyev et al.
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