1. A method in a computer for training a Deep Neural Network for acoustic modeling in speech recognition, said method comprising: reading only central frames as input frames from a memory in a first reading function, executing pre-training and fine-tuning for the central frames to estimate parameters for connections between the central frames and units in a bottom layer of hidden layers; reading central frames and side frames as input frames from the memory in a next reading function; and executing pre-training and fine-tuning for both the central frames and the side frames to emphasize connections between acoustic features in the central frames and units of the bottom layer of the hidden layers of the Deep Neural Network.