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 …

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 …

Automatic spoken Language IDentification (LID) is the task of identifying the language from
a short duration of speech signal uttered by an unknown speaker. In this work, an attempt …

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

Automatic spoken language identification (LID) is the task of identifying the language from a
short utterance of the speech signal. The most successful approach to LID uses phone …

Automatic dialect classification has gained interest in the field of speech research because
of its importance in characterizing speaker traits and knowledge estimation which could …

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 …

Conventional techniques for spoken language identification use variants of phone similarity
and language model scoring, which represent local phonetic constraints in spoken …

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 …