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Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source
In this paper, we propose a novel approach of binaural dereverberation of a single speech source, using the differences in the interaural cues of the direct path signal and the reverberations.
Recycling an anechoic pre-trained speech separation deep neural network for binaural dereverberation of a single source
Reverberation results in reduced intelligibility for both normal and hearing-impaired listeners.
Integration of deep learning with expectation maximization for spatial cue based speech separation in reverberant conditions
In this paper, we formulate a blind source separation (BSS) framework, which allows integrating U-Net based deep learning source separation network with probabilistic spatial machine learning expectation maximization (EM) algorithm for separating speech in reverberant conditions.
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