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20192026
most citedCustomer churn prediction in telecom using machine learning and social network analysis in big data platform

423 citations · 467 across the 6 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

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…

cs.SD2023★ 1 cited

Towards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation

Rawad Melhem, Assef Jafar, Oumayma Al Dakkak

Speech separation is very important in real-world applications such as human-machine interaction, hearing aids devices, and automatic meeting transcription. In recent years, a sign…