Speech Recognition in Mongolian Language using a Neural Network with pre-processing Technique

In this paper, we developed a neural network model, which is capable of recognizing a limited number of words in Mongolian language. We have chosen four words in Mongolian language. These words were chosen for further designing and creating a special device with an audio interface. In this experiment, we used audio recordings recorded in a computer using a microphone in a normal audience with minimal background noise. The database of audio recordings used to train the neural network consists of speeches of 11 people (7 men and 4 women). One of them is around 20–30 years old, three people are 60–70 and the rest are 30–40. The work uses a regular personal computer with an Intel Core i5 processor - the 3rd generation and with 8GB DDR IV RAM.