Article
21 April 2020
Published
Elsevier BV
10.1016/j.inffus.2020.04.001
1566-2535
Engineering and Physical Sciences Research Council
Gogate, M., Dashtipour, K., Adeel, A., & Hussain, A. (2020). CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement. Information Fusion, 63, 273-285. https://doi.org/10.1016/j.inffus.2020.04.001
ProfessorSchool of Computing Engineering and the Built Environment
0131 455 2239
A.Hussain@napier.ac.uk
LecturerSchool of Computing Engineering and the Built Environment
K.Dashtipour@napier.ac.uk
Senior Research FellowSchool of Computing Engineering and the Built Environment
M.Gogate@napier.ac.uk
Audio-Visual, Speech enhancement, Speech separation, Deep learning, Real noisy audio-visual corpus, Speaker independent, Noise-independent, Language-independent, Multi-modal Hearing aids