[PDF][PDF] Locally-connected and convolutional neural networks for small footprint speaker recognition
This work compares the performance of deep Locally-Connected Networks (LCN) and
Convolutional Neural Networks (CNN) for text-dependent speaker recognition. These
topologies model the local time-frequency correlations of the speech signal better, using
only a fraction of the number of parameters of a fully connected Deep Neural Network (DNN)
used in previous works. We show that both a LCN and CNN can reduce the total model
footprint to 30% of the original size compared to a baseline fully-connected DNN, with …
Convolutional Neural Networks (CNN) for text-dependent speaker recognition. These
topologies model the local time-frequency correlations of the speech signal better, using
only a fraction of the number of parameters of a fully connected Deep Neural Network (DNN)
used in previous works. We show that both a LCN and CNN can reduce the total model
footprint to 30% of the original size compared to a baseline fully-connected DNN, with …
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