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Localizing Spatial Information in Neural Spatiospectral Filters
Beamforming for multichannel speech enhancement relies on the estimation of spatial characteristics of the acoustic scene.
Exploiting spatial information with the informed complex-valued spatial autoencoder for target speaker extraction
In conventional multichannel audio signal enhancement, spatial and spectral filtering are often performed sequentially.
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