We have compared the performance of four approaches for automatic language
identification of speech utterances: Gaussian mixture model (GMM) classification; single …

Automatic language identification of speech is the process by which the language of a
digitized speech utterance is recognized by a computer. In this paper, we will describe the …

This paper describes the design of an acoustic language identification (LID) system based
on LSTMs that directly maps a sequence of acoustic features to a vector in a vector space …

This paper describes the design of an acoustic language recognition system based on
BLSTM that can discriminate closely related languages and dialects of the same language …

This paper discusses the formulation, development and analysis of a segment-based
approach to the automatic language identification (LID) problem. This system utilizes …

This study addresses novel advances in English dialect/accent classification. A word-based
modeling technique is proposed that is shown to outperform a large vocabulary continuous …

This paper describes our development work to design a language recognition system that
can discriminate closely related languages and dialects of the same language. The work …

A task independent spoken language identification (LID) system which uses a large
vocabulary automatic speech recognition (LVASR) module for each language to choose the …

Like other applications, under the purview of pattern classification, analyzing speech signals
is crucial. People often mix different languages while talking which makes this task …

Automatic spoken Language Identi¯ cation (LID) is the process of identifying the language
spoken within an utterance. The challenge that this task presents is that no prior information …