3 citations · 5 across the 4 of their papers we have counts for
4 papers
Single channel speech enhancement by colored spectrograms
Sania Gul, Muhammad Salman Khan, Muhammad Fazeel
Speech enhancement concerns the processes required to remove unwanted background sounds from the target speech to improve its quality and intelligibility. In this paper, a novel ap…
Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source
Sania Gul, Muhammad Salman Khan, Syed Waqar Shah
Reverberations are unavoidable in enclosures, resulting in reduced intelligibility for hearing impaired and non native listeners and even for the normal hearing listeners in noisy…
Recycling an anechoic pre-trained speech separation deep neural network for binaural dereverberation of a single source
Sania Gul, Muhammad Salman Khan, Syed Waqar Shah +1
Reverberation results in reduced intelligibility for both normal and hearing-impaired listeners. This paper presents a novel psychoacoustic approach of dereverberation of a single…
Integration of deep learning with expectation maximization for spatial cue based speech separation in reverberant conditions
Sania Gul, Muhammad Salman Khan, Syed Waqar Shah
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 machi…