Phonological and computational perspectives of language identification (LID) system

Living beings inherently have the ability to differentiate languages as a part of human intelligence. Automatic LID had been a science fiction in 1970´s but today, this has been deployed in practical usage. From the two classifications, text-based language recognition and spoken language recognition, the latter is comparatively challenging and has been worked in the paper. Language Recognition, generally means, the system (process) which determines the identity of the particular language. It´s widely used in multilingual processing´s for translation, interpretations and spoken facts retrieval. It finds place in research domain of Artificial Intelligence and security for data (information) distillation. This paper experiments for systems with two different Datasets, separately for prosody and acoustic (MFCC) based study and furthermore, their system fusion to deliver a thoughtful results.