The task of automatic language identification (LID) involving multiple dialects of the same
language family on short speech recordings is a challenging problem. This can be further …

The task of automatic language identification (LID) involving multiple dialects of the same
language family in the presence of noise is a challenging problem. In these scenarios, the …

In this paper, a hybrid i-vector neural network framework (i-BLSTM) which models the
sequence information present in a series of short segment i-vectors for the task of spoken …

The conventional i-vector approach to speaker and language recognition constitutes an
unsupervised learning paradigm where a variable length speech utterance is converted into …

Spoken language recognition is a research field that has received considerable attention
due to its impact on several tasks related to multilingual speech processing. While it has …

In the age of artificial intelligence, it is important for machines to figure out who is speaking
automatically and in what language-a task humans are naturally capable of. Developing …

This chapter describes the applications of multilingual phone recognition in code-switched
and non-code-switched scenarios. It compares two approaches for multilingual phone …

En el presente trabajo se abordó el reconocimiento automático del idioma hablado en
señales de corta duración, empleando una red neuronal convolucional pre-entrenada sobre …

Language recognition is the task of predicting the language used in a test speech utterance.
Since 2017, the best performing systems have been based on a deep neural network which …

We propose a multilingual phone recognition system using common multilingual phone-set
(Multi-PRS) derived from IPA based labelling convention, which offers seamless decoding of …