Patent ID: 9190053
Filing Date: 2015-11-17
Classification: G10L

Abstract:
1. A method for applying a convolutional neural network to a speech signal to mitigate acoustic variation in speech, the convolutional neural network comprising at least one processor, the method comprising: (a) obtaining an acoustic signal comprising speech; (b) preprocessing the acoustic signal to: (c) providing the plurality of frequency bands to a convolution layer of the convolutional neural network, the convolution layer comprising a plurality of convolution units each receiving input from at least one of the frequency bands, at least a subset of the convolution units sharing weights for computing activations from their respective local frequency bands of their input; and (d) providing the output of the convolution layer to a pooling layer of the convolutional neural network, the pooling layer comprising a plurality of pooling units each receiving input from at least one of the convolution units, the output of the pooling layer being a representation of the acoustic signal mitigating acoustic variation.