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This paper presents different language modeling issues and challenges in speech recognition. The spoken language play very important role in developing any speech recognition system. Therefore it is required to explore different language modeling issues and challenges for improving speech recognition results. The aim of this work is to explore different technical aspects and issues related to language modeling for implementation of speech recognition system. The study starts with the need for language modeling in developing speech recognition systems. Related work is described with technical advancements, merits, and demerits. Different types of language modeling methods explored and reviewed. Methods for creating robust model estimation are also highlighted. Mostly used language modeling toolkits identified and described. Language modeling challenges explored. Evaluation criteria for language models discussed. Finally paper concludes with research findings and key points.
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