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 …

Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

Deep learning, especially in the form of convolutional neural networks (CNNs), has triggered
substantial improvements in computer vision and related fields in recent years. This …

Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …

The recent application of deep neural networks (DNN) to speaker identification (SID) has
resulted in significant improvements over current state-of-the-art on telephone speech. In …

This work compares the performance of deep Locally-Connected Networks (LCN) and
Convolutional Neural Networks (CNN) for text-dependent speaker recognition. These …

Speaker recognition methods based on convolutional neural networks (CNN) have been
widely used in the security field and smart wearable devices. However, the traditional CNN …

This research is an effort to present an effective approach to enhance text-independent
speaker identification performance in emotional talking environments based on novel …

This paper attempts to identify the requirement and the development of machine learning‐
based mobile big data (MBD) analysis through discussing the insights of challenges in the …