17 citations · 65 across the 7 of their papers we have counts for
7 papers
Masked Conditional Neural Networks for Environmental Sound Classification
Fady Medhat, David Chesmore, John Robinson
The ConditionaL Neural Network (CLNN) exploits the nature of the temporal sequencing of the sound signal represented in a spectrogram, and its variant the Masked ConditionaL Neural…
Environmental Sound Recognition using Masked Conditional Neural Networks
Fady Medhat, David Chesmore, John Robinson
Neural network based architectures used for sound recognition are usually adapted from other application domains, which may not harness sound related properties. The ConditionaL Ne…
Masked Conditional Neural Networks for Audio Classification
Fady Medhat, David Chesmore, John Robinson
We present the ConditionaL Neural Network (CLNN) and the Masked ConditionaL Neural Network (MCLNN) designed for temporal signal recognition. The CLNN takes into consideration the t…
Music Genre Classification using Masked Conditional Neural Networks
Fady Medhat, David Chesmore, John Robinson
The ConditionaL Neural Networks (CLNN) and the Masked ConditionaL Neural Networks (MCLNN) exploit the nature of multi-dimensional temporal signals. The CLNN captures the conditiona…
Masked Conditional Neural Networks for Automatic Sound Events Recognition
Fady Medhat, David Chesmore, John Robinson
Deep neural network architectures designed for application domains other than sound, especially image recognition, may not optimally harness the time-frequency representation when…
Recognition of Acoustic Events Using Masked Conditional Neural Networks
Fady Medhat, David Chesmore, John Robinson
Automatic feature extraction using neural networks has accomplished remarkable success for images, but for sound recognition, these models are usually modified to fit the nature of…