Search Results for author:
Found 4 papers, 0 papers with code
Single channel speech enhancement by colored spectrograms
After denoising, the colors of spectrograms are translated to magnitudes of short-time Fourier transform (STFT) using a shallow regression neural network.
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.
