Automatic speaker identification is a crucial task that can help ensure safety in the use of
maritime autonomous vehicles (MAVs). Most of the best solutions to automatic speaker …

Although a lot of research has been done on speaker identification in the presence of noise
and channel variation, to the best of our knowledge, no work has been reported for …

For speaker identification purposes, features are first extracted and then compared with
those of the training set to find the closest match. So, finding effective and robust features for …

Speaker Identification (SI) is the task of identifying an unknown speaker of an utterance by
comparing the voice biometrics of the unknown speaker with previously stored and known …

In recent years, convolutional neural networks (CNNs) have outperformed conventional
methods in end-to-end speaker identification (SI) systems. The CNN training time is …

In this study, deep embedding of acoustic and articulatory features are combined for speaker
identification. First, a convolutional neural network (CNN)-based universal background …

This work consists of deploying a system for Speaker Identification (SI). SI is a system of
recognition of the speaker's speech signal. The most important thing in SI is to have a …

Since voice communication is the most frequent form of human communication, it is
necessary to identify each speaker in a discussion. The development of advanced computer …

Automatic Speaker Identification (ASI) involves the process of distinguishing an audio
stream associated with numerous speakers' utterances. Some common aspects, such as the …

This study investigates the performance of machine learning classifiers in the domain of
speaker identification, a pivotal component of modern digital security systems. With the …