Masked Conditional Neural Networks for Automatic Sound Events Recognition

2018-02-15 · 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 adapted to the sound recognition problem. In this work, we explore the ConditionaL Neural Network (CLNN) and the Masked ConditionaL Neural Network (MCLNN) for multi-dimensional temporal signal recognition. The CLNN considers the inter-frame relationship, and the MCLNN enforces a systematic sparseness over the network's links to enable learning in frequency bands rather than bins allowing the network to be frequency shift invariant mimicking a filterbank. The mask also allows considering several combinations of features concurrently, which is usually handcrafted through exhaustive manual search. We applied the MCLNN to the environmental sound recognition problem using the ESC-10 and ESC-50 datasets. MCLNN achieved competitive performance, using 12% of the parameters and without augmentation, compared to state-of-the-art Convolutional Neural Networks.

📄 PDF Abstract BibTeX arXiv:1802.05792

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fadymedhat/MCLNN 공식 구현 tf

Recognition of Acoustic Events Using Masked Conditional Neural Networks

2018-02-07 · 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 the multi-dimensional temporal represen…

Environmental Sound Recognition using Masked Conditional Neural Networks

2018-04-08 · 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 Neural Network (CLNN) is designed to consi…

Automatic Classification of Music Genre using Masked Conditional Neural Networks

2018-01-16 · Fady Medhat, David Chesmore, John Robinson

Neural network based architectures used for sound recognition are usually adapted from other application domains such as image recognition, which may not harness the time-frequency representation of a signal. The Conditi…

Classification General Classification

Masked Conditional Neural Networks for Audio Classification

2018-03-06 · 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 temporal nature of the sound signal and t…

Audio Classification Classification General Classification

Masked Conditional Neural Networks for Environmental Sound Classification

2018-05-25 · 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 Network (MCLNN) induces the network to …

Classification Environmental Sound Classification General Classification Sound Classification