Spoken language recognition refers to the automatic process through which we determine
or verify the identity of the language spoken in a speech sample. We study a computational …

We propose a novel approach to automatic spoken language identification (LID) based on
vector space modeling (VSM). It is assumed that the overall sound characteristics of all …

It is well known that speaker variability caused by accent is one factor that degrades
performance of speech recognition algorithms. If knowledge of speaker accent can be …

Developing an automatic speech recognition system for multilingual countries like India is a
challenging task due to the fact that the people are inured to using multiple languages while …

Speech based language identification system has a wide range of applications in the field of
telephone services, multilingual translation services, government intelligence and …

In this paper we explore the use of languageindependent acoustic models for language
identi cation (LID). The phone sequence output by a single language-independent phone …

In this paper, we study a novel approach to spoken language recognition using an
ensemble of binary classifiers. In this framework, we begin by representing a speech …

This paper presents a strategy to optimize the phonotactic front-end for spoken language
recognition. This is achieved by selecting a subset of phones from an existing phone …

The parallel phone recognition followed by language model (PPRLM) architecture
represents one of the state-of-the-art spoken language identification systems. A PPRLM …

An Automatic Language Identification (LID) approach is presented. The baseline LID system
consists of three parts:(1) hidden Markov model (HMM) based context-independent phone …