In this work, the details of AMRITA-TCS and IITGUWAHATI speaker recognition systems
submitted to the Speakers in the Wild (SITW) speaker recognition challenge are presented …

The i-vectors with Probabilistic Linear Discriminative Analysis (PLDA) are known to be one
of the latest and most advanced techniques in the field of Automatic Speaker Recognition …

i-vector feature extraction is the state-of-the-art technique for text-independent speaker
recognition. There exist studies in literature utilizing i-vector approach for text-dependent …

This paper presents the QUT speaker recognition system, as a competing system in the
Speakers In The Wild (SITW) speaker recognition challenge. Our proposed system achieved …

Biometrie recognition techniques using features such as iris, fingerprint, face etc. are
nowadays being popularly used for the purpose of verification or authentication of …

In this paper, the common vector approach (CVA) is newly used for text-independent
speaker recognition. The performance of CVA is compared with those of Fisher's linear …

Speaker recognition is one of the most common and user-friendly methods for biological
signals based people identification. Nowadays, Speaker verification based on factor …

It is known that the Percentage of Identification Accuracy (PIA) of Automatic Speaker
Recognition (ASR) systems is increasingly vulnerable, such as noise and channel …

Abstract In this paper Type-2 Information Set (T2IS) features and Hanman Transform (HT)
features as Higher Order Information Set (HOIS) based features are proposed for the text …

i-Vector feature representation with probabilistic linear discriminant analysis (PLDA) scoring
in speaker recognition system has recently achieved effective permanence even on channel …