Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …

In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

Next-generation vehicle control and future autonomous driving require further advances in
vehicle dynamic state estimation. This article provides a concise review, along with the …

Todays interactive devices such as smart-phone assistants and smart speakers often deal
with short-duration speech segments. As a result, speaker recognition systems integrated …

This paper summarizes the applied deep learning practices in the field of speaker
recognition, both verification and identification. Speaker recognition has been a widely used …

In the domain of speaker recognition, many methods have been proposed over time. The
technology for automatic speaker recognition has now reached a good level of performance …

Deep learning (DL) is becoming an increasingly interesting and powerful machine learning
method with successful applications in many domains, such as natural language …

Over the last few years, i-vectors have been the state-of-the-art technique in speaker
recognition. Recent advances in Deep Learning (DL) technology have improved the quality …

Recent advances have shown that convolutional neural networks (CNNs) perform excellent
in the tasks of image classification and face recognition when the size of data sets is …

Speaker labeled background data is an essential requirement for most state-of-the-art
approaches in speaker recognition, eg, xvectors and i-vector/PLDA. However, in reality it is …