Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

Biometrics is becoming an important technology in automated person recognition. With the
help of biometrics, the individuals are recognized through their unique characteristics and …

Combining multiple human trait features is a proven and effective strategy for biometric‐
based personal identification. In this study, the authors investigate the fusion of two biometric …

In this paper, an identification of a speaker for multimedia application under non-
electronically disguised voice is performed. In non-electronically disguised voice under …

The present invention is directed to a deep neural network (DNN) having a triplet network
architecture, which is suit able to perform speaker recognition. In particular, the DNN …

In this paper, the use of radial basis function network (RBFN) for simultaneous online
identification and indirect adaptive control of nonlinear dynamical systems is demonstrated …

Speech is a signal that includes speaker's emotion, characteristic specification, phoneme-
information etc. Various methods have been proposed for speaker recognition by extracting …

One of the most widely used approaches for feature extraction in speaker recognition is the
filter bank-based Mel Frequency Cepstral Coefficients (MFCC) approach. The main goal of …

This paper introduces an isolated word speaker identification system based on a new
feature extractor and using Artificial Neural Network. The system is designed for both text …

Artificial Neural Network (ANN) is a widely used algorithm in pattern recognition,
classification, and prediction fields. Among a number of neural networks, backpropagation …