1. A method for improving computation time of speech recognition processing in an electronic device, the method comprising: by a processor: updating a current output value stored in a memory, the current output value corresponding to a selected given output neuron of a current layer of a Deep Neural Network (DNN), the current output value being updated with an incremental output value computed for the selected given output neuron as a function of input values of a selected few non-zero input neurons of a previous layer of the DNN in combination with weights between the selected few non-zero input neurons and the selected given output neuron, the selected few non-zero input neurons selected by skipping zero-skip neurons of the previous layer that have null input values for combining with respective weights for the updating, wherein a number of neurons for the selected few corresponds to a batch setting; iterating the updating for each output neuron of the current layer to update respective current output values, stored in the memory, with respective incremental output values computed for the respective output neurons; and repeating the updating and the iterating for each next selected few non-zero input neurons of the previous layer to reduce a rate of accessing the memory based on the batch setting to improve the computation time of the speech recognition processing.