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cs.SD2024★ 1 cited
Study of the Performance of CEEMDAN in Underdetermined Speech Separation
Rawad Melhem, Riad Hamadeh, Assef Jafar
The CEEMDAN algorithm is one of the modern methods used in the analysis of non-stationary signals. This research presents a study of the effectiveness of this method in audio sourc…
cs.SD2023
Improving Deep Attractor Network by BGRU and GMM for Speech Separation
Rawad Melhem, Assef Jafar, Riad Hamadeh
Deep Attractor Network (DANet) is the state-of-the-art technique in speech separation field, which uses Bidirectional Long Short-Term Memory (BLSTM), but the complexity of the DANe…