A Study of Language Models in Automatic Speech Recognition System

Abstract

This paper presents a brief survey on Language Models in Automatic Speech Recognition. After years of research and development the accuracy of automatic speech recognition remains one of the important research challenges (eg. variations of the context, speakers, and environment). The design of Speech Recognition system requires careful attentions to language models used in various stages in order to improve the accuracy of the Speech Recognition system. The objective of this review paper is to summarize and compare some of the well-known language models and identify research topic and applications which are at the forefront of this exciting and challenging field.