A Dravidian Language Identification System

Abstract

Speech recognition has established a strong bond with various technological boons for the day to day life of the rustics across the continents. Such advances have not yet propagated to the grassroot level of India, one of the reasons for it being the multilingual nature of our country. We are habituated in using multiple languages while talking, which makes the task of speech recognition challenging thereby making Language Identification an important task. The technique of automatically identifying language from spoken phrases is termed as Automatic Language Identification. The problem of multilingual speech further elevates for South Indian languages which at times become very difficult to distinguish with negligible prior knowledge. In this paper, an Automatic Language Identification System is proposed to distinguish the 4 Dravidian languages which are also known as South Indian languages due to their pre dominant use in the South Indian subcontinent. Dataset size ranged up to the size of 12224 clips and a highest accuracy of 96.46% was obtained by using a newly proposed Line Spectral Pair-Grade (LSP-G) feature along with FURIA based classification technique.