The RSR2015 database, designed to evaluate text-dependent speaker verification systems
under different durations and lexical constraints has been collected and released by the …

Text-dependent speaker recognition characterizes a speaker recognition task, such as
verification or identification, in which the set of words (or lexicon) used during the testing …

In the last decade, i-vector and Joint Factor Analysis (JFA) approaches to speaker modeling
have become ubiquitous in the area of automatic speaker recognition. Both of these …

Recent data on mobile phone users all over the world, the number of telephone landlines in
operation, and recent VoIP (Voice over IP networks) deployments, confirm that voice is the …

Model-based approaches to Speaker Verification (SV), such as Joint Factor Analysis (JFA), i-
vector and relevance Maximum-a-Posteriori (MAP), have shown to provide state-of-the-art …

In the context of mobile devices, speaker recognition engines may suffer from ergonomic
constraints and limited amount of computing resources. Even if they prove their efficiency in …

In this work, a voice recognition approach is developed and presented. It is a based on
acquiring the signal of vocal cords' vibrations of a person using a piezoelectric transducer …

Multimodal biometric face recognition using speech signal has engrossed much attention
and has been applied in various domains primarily for surveillance, security & access …

In this paper we briefly describe the BioSec multimodal biometric database and analyze its
use in automatic text-dependent speaker recognition research. The paper is structured into …

In this paper, neural networks are applied as a feature extractors for a speech recognition
system and a speaker verification system. A long-temporal features with delta coefficients …