On enhancing model-based expectation maximization source separation in dynamic reverberant conditions using automatic Clifton effect. - Sania Gul; Muhammad Salman Khan 001; Syed Waqar Shah; Jaime Lloret 001 (Int. J. Commun. Syst., 2020)

On evaluation of dereverberation algorithms for expectation-maximization based binaural source separation in varying echoic conditions. - Muhammad Sheryar Fulaly; Sania Gul; Muhammad Salman Khan 001; Ata ur-Rehman; Syed Waqar Shah (FIT, 2022)

Recycling an anechoic pre-trained speech separation deep neural network for binaural dereverberation of a single source. - Sania Gul; Muhammad Salman Khan 001; Syed Waqar Shah; Ata Ur Rehman (CoRR, 2022)

A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net. - Sania Gul; Muhammad Salman Khan 001 (IEEE Access, 2023)

Single channel speech enhancement by colored spectrograms. - Sania Gul; Muhammad Salman Khan 001; Muhammad Fazeel (CoRR, 2023)

Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source. - Sania Gul; Muhammad Salman Khan 001; Syed Waqar Shah (Comput. Speech Lang., 2023)

Single-channel speech enhancement using colored spectrograms. - Sania Gul; Muhammad Salman Khan 001; Muhammad Fazeel (Comput. Speech Lang., 2024)