This tutorial presents an overview of the progression of spoken language identification (LID)
systems and current developments. The introduction provides a background on automatic …

In this paper spectral and prosodic features extracted from different levels are explored for
analyzing the language specific information present in speech. In this work, spectral features …

This paper explores pitch synchronous and glottal closure (GC) based spectral features for
analyzing the language specific information present in speech. For determining pitch cycles …

Parallel sub-word recognition (PSWR) is a new model that has been proposed for language
identification (LID) which does not need elaborate phonetic labeling of the speech data in a …

Automatic spoken language identification (LID) is the task of identifying the language from a
short utterance of the speech signal uttered by an unknown speaker. The most successful …

We present a novel approach for language identification based on a text categorization
technique, namely an n-gram frequency ranking. We use a Parallel phone recognizer, the …

Culture and language evolve together. With respect to Tamil, the form of the language that
people use nowadays has come a long way from its origins. These days, the old literary form …

Automatic language identification (LID) systems use features derived from the Fourier
transform magnitude like MFCC, its derivatives and also PLP cepstra. Though half of the …

In this paper, we present several innovative techniques that can be applied in a PPRLM
system for language identification (LID). We will show how we obtained a 53.5% relative …

We present several innovative techniques that can be applied in a PPRLM system for
language identification (LID), obtaining a 61.8% relative error reduction from our base …