11 citations · 20 across the 3 of their papers we have counts for
4 papers
On Deep Speech Packet Loss Concealment: A Mini-Survey
Mostafa M. Mohamed, Mina A. Nessiem, Björn W. Schuller
Packet-loss is a common problem in data transmission, using Voice over IP. The problem is an old problem, and there has been a variety of classical approaches that were developed t…
ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition
Mostafa M. Mohamed, Björn W. Schuller
Packet loss is a common problem in data transmission, including speech data transmission. This may affect a wide range of applications that stream audio data, like streaming applic…
"I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition
Mostafa M. Mohamed, Björn W. Schuller
In applications that use emotion recognition via speech, frame-loss can be a severe issue given manifold applications, where the audio stream loses some data frames, for a variety…
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed
Convolutional Siamese neural networks have been recently used to track objects using deep features. Siamese architecture can achieve real time speed, however it is still difficult…