3 citations · 3 across the 1 of their papers we have counts for
7 papers
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
Fady Medhat, Mahnaz Mohammadi, Sardar Jaf +6
Handling large corpuses of documents is of significant importance in many fields, no more so than in the areas of crime investigation and defence, where an organisation may be pres…
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…