Memory-Augmented Neural Network (MANN)

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A Memory-Augmented Neural Network (MANN) is an memory-based neural network that also includes external memory modules.



References

2018a

2018b

(1) We replace currently popular CNN with gated convolutional neural network to extract more temporal features of audios;
(2) We propose a new segment-level attention mechanism to focus more on the audio segments with more energy;
(3) We utilize model ensemble to enhance the classification capability of our model.
We examine the following configurations:
(1) CNN: Convolutional neural network as baseline system;
(2) SAM-CNN: Convolutional neural network with our proposed segment-level attention mechanism;
(3) GCNN: Gated convolutional neural network;
(4) SAM-GCNN: Gated convolutional neural network with our proposed segment-level attention mechanism;
(5) Ensemble: Gated convolutional neural network with our proposed segment-level attention mechanism and model ensemble.

2016a

2016b

2016c