A Structured Approach towards Robust Database Collection for Language Identification

Language Identification (LID) is a method by which the language is identified from an utterance communicated by an unidentified person. Language Identification systems classification is based on database collection methodologies, techniques of extraction of features from the speech signals and methods of classification. From the very beginning stage of database collection to the classification stage, it is evaluated that there is a great need to work on all the dimensions of language identification systems. This paper gives a review of different databases used in the area of Indian Language Identification systems. Also, the existing work delivers a structured method towards robust speech database collection for developing an efficient language identification system. The paper also presents several databases available for language identification systems.