This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …

Speaker recognition has emerged as an important field over the past several decades and
has evolved over time. This work is attempted to investigate speaker verification (SV) …

In speech and audio applications, short-term signal spectrum is often represented using mel-
frequency cepstral coefficients (MFCCs) computed from a windowed discrete Fourier …

State-of-the-art Gaussian mixture model (GMM)-based speaker recognition/verification
systems utilize a universal background model (UBM), which typically requires extensive …

This paper describes the systems developed by the Center for Robust Speech Systems
(CRSS), for the 2012 National Institute of Standards and Technology (NIST) Speaker …

The importance of robust audio speech processing has rapidly increased in the latest years,
as the number of smart and connected devices is growing. This effect is strongly related to …

This study seeks to quantify the effectiveness of a broad range of acoustic features for
speaker identification and their impact in feature fusion. Sixteen different acoustic features …

State-of-the-art speaker verification systems take advantage of a number of complementary
base classifiers by fusing them to arrive at reliable verification decisions. In speaker …

This paper presents main paradigms of research for feature extraction methods to further
augment the state of art in speaker recognition (SR) which has been recognized extensively …

As the convenience and cost benefits of natural user interface (NUI) technologies are
hastening their wide adoption, computing devices equipped with such interfaces are …