This paper explains a new hybrid method for Automatic Speaker Recognition using speech
signals based on the Artificial Neural Network (ANN). ASR performance characteristics is …

Abstract An Automatic Speaker Recognition (ASR) system which applies voice as a
discriminatory feature is used for authentication and verification of identity of a person. A …

In speaker recognition, identifying the speaker using the customized features of the speech
signal is crucial. A single type of speech characteristics does not completely denote the …

Speaker Recognition is a challenging task and is widely used in many speech aided
applications. This study proposes a new Neural Network (NN) model for identifying the …

Speaker recognition is a major challenge in various languages for researchers. For
programmed speaker recognition structure prepared by utilizing ordinary speech, shouting …

Contemporary automatic speaker recognition (ASR) systems do not provide 100% accuracy
making it imperative to explore different techniques to improve it. Easy access to mobile …

At each integrated work stage, many technologies and algebraic formulations are required
to identify the speakers from speech signals. Due to advancements in machine learning and …

Speech processing is emerged as one of the important application area of digital signal
processing. Various fields for research in speech processing are speech recognition …

To improve the speaker recognition rate, we propose a speaker recognition model based on
the fusion of different kinds of speech features. A new type of feature aggregation …

In the present study, the techniques of wavelet transform (WT) and neural network were
developed for speech based text-independent speaker identification. The first five formants …