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

While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …

The speech representations learned from large-scale unlabeled data have shown better
generalizability than those from supervised learning and thus attract a lot of interest to be …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

In air traffic control (ATC), speech communication with radio transmission is the primary way
to exchange information between the controller and aircrew. A wealth of contextual …

Recently, researchers propose to build deep learning based endto-end speaker verification
(SV) systems and achieve competitive results compared with the standard i-vector approach …

Voice and face are two most popular biometrics for person verification, usually used in
speaker verification and face verification tasks. It has already been observed that simply …

The variety and complexity of accents pose a huge challenge to robust Automatic Speech
Recognition (ASR). Some previous work has attempted to address such problems, however …

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 …

This work studies the usage of the Deep Neural Network (DNN) Bottleneck (BN) features
together with the traditional MFCC features in the task of i-vector-based speaker recognition …