Review of Automatic Language Identification System in Indian languages from the Non-Uniform Region

The process of language identification involves au-tomatically detecting which natural language(s) are given in a speech sample. Using automatic language recognition, an audio clip can be recognised as being spoken in a specific language (LID). Identifying the language correctly from a given speech sample is the language identification system’s fundamental purpose. There are two types of systems they are explicit language identification and implicit language identification. The phoneme sequence used in the explicit language recognition system is produced from a speech sample. Language is determined using the phoneme sequence that is retrieved. There is no need to identify the phoneme in the implicit language recognition method, which determines using certain speech properties. The language identification process involves training and a classifier model. the first step is to extract the speech sample using phonemes then it is trained using classifiers. Data are randomly collected from male and female peoples in society.