Patent ID: 9483728
Filing Date: 2016-11-01
CPC Classification: G06N,G10L

Claim Text:
1. A method for training a deep neural network, comprising: receiving, using at least one processor operatively coupled to a memory of a computer system, speech data for the training; formatting, using the at least one processor, the speech data for the training; dividing, using the at least one processor, the speech data into a plurality of subsets; performing, using the at least one processor, Hessian-free sequence training on a first subset of the plurality of subsets of the speech data; iteratively performing, using the at least one processor, the Hessian-free sequence training on successive subsets of the plurality of subsets of the speech data; wherein iteratively performing the Hessian-free sequence training comprises: transmitting, using the at least one processor, a result of the iterative performance of the Hessian-free sequence training to the deep neural network.