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 …

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

Conventionally, the extraction of hand-crafted acoustic features has been separated from the
task of establishing robust machine-learning models in speech processing. The manual …

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

Speaker recognition is related to human biometrics dealing with the identification of
speakers from their speech. Speaker recognition is an active research area and being …

Due to its constantly develo** technological background, VR and AR technology has
been gaining increasing popularity not just in industry or business but in education as well …

Speech is the most natural mode of human communication. In addition to the exchange of
thoughts and ideas, speech is considered to be useful for extracting a lot of other information …

Vector similarity search (VSS) for unstructured vectors generated via machine learning
methods is a promising solution for many applications, such as face search. With increasing …

The human voice conveys unique characteristics of an individual, making voice biometrics a
key technology for verifying identities in various industries. Despite the impressive progress …

Researchers and engineers have increasingly used Deep Learning (DL) for a variety of
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is …