While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …

Automatic speaker verification (ASV) technology now reports a reasonable level of accuracy
in its applications in voice‐based biometric systems. However, it requires adequate amount …

In this paper we present a data-driven, integrated approach to speaker verification, which
maps a test utterance and a few reference utterances directly to a single score for verification …

In this paper we investigate the use of deep neural networks (DNNs) for a small footprint text-
dependent speaker verification task. At development stage, a DNN is trained to classify …

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

This paper describes data collection efforts conducted as part of the RedDots project which
is dedicated to the study of speaker recognition under conditions where test utterances are …

ALIZE is an open-source platform for speaker recognition. The ALIZE library implements a
low-level statistical engine based on the well-known Gaussian mixture modelling. The toolkit …

The low-dimensional i-vector representation of speech segments is used in the state-of-the-
art text-independent speaker verification systems. However, i-vectors were deemed …

In this paper, we apply and enhance the i-vector-PLDA paradigm to text-dependent speaker
recognition. Due to its origin in text-independent speaker recognition, this paradigm does …

In this paper, we present our efforts towards develo** a robust automatic speaker
verification (ASV) system for children when the domain-specific data is limited. For that …