This paper presents an alternative feature set to the traditional MFCC-SDC used in acoustic
approaches to Spoken Language Recognition: the log-likelihood ratios of phone posterior …

Most common approaches to phonotactic language recognition deal with several
independent phone decodings. These decodings are processed and scored in a fully …

In this paper, a new hierarchical Bayesian speaker adaptation method called HMAP is
proposed that combines the advantages of three conventional algorithms, maximum a …

In this work we give an overview of different state–of–the–art speaker and language
recognition systems. We analyze some techniques to extract and model features from the …

Spoken language verification and speaker verification are pattern recognition tasks that
consist of recognizing, by computational means, the language spoken and the speaker …

The increasing use of technological devices and biometric recognition systems in people
daily lives has motivated a great deal of research interest in the development of effective and …

The work presented in this thesis investigates different approaches for achieving efficient
sparse representation for the purpose of language recognition LR task In this context both …

In this article, we propose a new feature which could be used for the framework of SVM-
based language recognition, by introducing the idea of total variability used in speaker …

Robust and accurate automatic speaker and language recognition, through the voice signal,
remains a challenge for the scientific community mainly due to an old and well …

In this thesis, we investigated how to efficiently apply subspace Gaussian mixture modeling
techniques in two speech technology problems, namely automatic spoken language …