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 …

Transfer learning is a vital technique that generalizes models trained for one setting or task
to other settings or tasks. For example in speech recognition, an acoustic model trained for …

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 …

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

An automatic speech recognition (ASR) system is a key component in current speech-based
systems. However, the surrounding acoustic noise can severely degrade the performance of …

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 …

Automatic speaker verification (ASV) systems are enhanced enough, that industry is
attracted to use them practically in security systems. However, vulnerability of these systems …

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 …

The cocktail party problem, ie, tracing and recognizing the speech of a specific speaker
when multiple speakers talk simultaneously, is one of the critical problems yet to be solved …