Task-oriented learned compression from distributed receivers enables multi-emitter localization and characterization on synthetic scenes with spectral overlap, with performance improving at larger latent sizes.
Permutation invariant training of deep models for speaker-independent multi-talker speech separation,
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Spatially Distributed Task-Oriented Compression for Multi-Emitter Localization and Characterization with Spectral Overlap
Task-oriented learned compression from distributed receivers enables multi-emitter localization and characterization on synthetic scenes with spectral overlap, with performance improving at larger latent sizes.