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; reading central frames and side frames as input frames from the memory in a next reading function; and executing pre-training for only the central frames or both the central frames and the side frames and fine-tuning for the central frames and the side frames so as to emphasize connections between acoustic features in the central frames and units of the bottom layer in hidden layer of the Deep Neural Network.