Muhammad Salman Khan
Muhammad Salman Khan
Assistant Professor BS MS PhD
Verified email at
TitleCited byYear
An unsupervised acoustic fall detection system using source separation for sound interference suppression
MS Khan, M Yu, P Feng, L Wang, J Chambers
Signal processing 110, 199-210, 2015
Multimodal (audio–visual) source separation exploiting multi-speaker tracking, robust beamforming and time–frequency masking
SM Naqvi, W Wang, MS Khan, M Barnard, JA Chambers
IET Signal Processing 6 (5), 466-477, 2012
Pattern recognition applied to seismic signals of the Llaima volcano: An analysis of the events' features
M Curilem, J Vergara, CS Martin, G Fuentealba, C Cardona, F Huenupan, ...
Journal of Volcanology and Geothermal Research 282, 134-147, 2014
Video-aided model-based source separation in real reverberant rooms
MS Khan, SM Naqvi, W Wang, J Chambers
IEEE Transactions on Audio, Speech, and Language Processing 21 (9), 1900 - 1912, 2013
Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models
SM Bhatti, MS Khan, J Wuth, F Huenupan, M Curilem, L Franco, NB Yoma
Journal of Volcanology and Geothermal Research 324, 134-143, 2016
Pattern recognition applied to seismic signals of Llaima volcano (Chile): An evaluation of station-dependent classifiers
M Curilem, F Huenupan, D Beltrán, C San Martin, G Fuentealba, L Franco, ...
Journal of Volcanology and Geothermal Research 315, 15-27, 2016
A new VLC system for localization in underground mining tunnels
D Iturralde, F Seguel, I Soto, C Azurdia, S Khan
IEEE Latin America Transactions 15 (4), 581-587, 2017
Multidomain features-based GA optimized artificial immune system for bearing fault detection
A Abid, MT Khan, MS Khan
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
A new cascaded spectral subtraction approach for binaural speech dereverberation and its application in source separation
MS Khan, SM Naqvi, J Chambers
IEEE Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE …, 2013
Multimodal blind source separation with a circular microphone array and robust beamforming
SM Naqvi, MS Khan, Q Liu, W Wang, JA Chambers
2011 19th European Signal Processing Conference, 1050-1054, 2011
Feature selection for discrimination between volcanic and tectonic events of the Llaima volcano (Chile)
M Curilem, C Soto, F Huenupan, C San Martin, C Cardona, L Franco, ...
IET Digital Library, 2016
Predicting bubble size and bubble rate data in water and in froth flotation-like slurry from computational fluid dynamics (CFD) by applying deep neural networks (DNN)
G Montes-Atenas, F Seguel, A Valencia, SM Bhatti, MS Khan, I Soto, ...
International Communications in Heat and Mass Transfer 76, 197-201, 2016
A novel ultrasound based technique for classifying gas bubble sizes in liquids
W Hussein, MS Khan, J Zamorano, F Espic, NB Yoma
Measurement Science and Technology 25 (12), 125302, 2014
Two-stage audio-visual speech dereverberation and separation based on models of the interaural spatial cues and spatial covariance
MS Khan, SM Naqvi, J Chambers
IEEE Digital Signal Processing (DSP), 2013 IEEE 18th International …, 2013
Discovering New Worlds: A review of signal processing methods for detecting exoplanets from astronomical radial velocity data [Applications Corner]
MS Khan, J Jenkins, NB Yoma
IEEE Signal Processing Magazine 34 (1), 104-115, 2017
On discriminating sizes of CFD generated bubbles with signal processing analysis
MS Khan, G Montes, A Valencia, SM Bhatti, NB Yoma
International Journal of Heat and Mass Transfer 89, 996-1006, 2015
Speech separation with dereverberation-based pre-processing incorporating visual cues
MS Khan, SM Naqvi, J Chambers
IN: Proceedings of the 2nd International workshop on machine listening in …, 2013
Convolutive speech separation by combining probabilistic models employing the interaural spatial cues and properties of the room assisted by vision
MS Khan, Y Liang, SMR Naqvi, J Chambers
© IMA, 2012
A signal processing perspective of monitoring active volcanoes
MS Khan, M Curilem, F Huenupan, MF Khan, NB Yoma
IEEE Signal Processing Magazine 36 (6), 2019
On Enhancing Model-Based Expectation Maximization Source Separation in Dynamic Reverberant Conditions Using Automatic Clifton Effect
S Gul, MS Khan, SW Shah, J Lloret
International Journal of Communication Systems, 2019
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