The development of methods based on artificial intelligence for the classification of medical
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …

Learning fixed-dimensional speaker representation using deep neural networks is a key
step in speaker verification. In this work, we propose an auxiliary memory storable network …

Probabilistic linear discriminant analysis (PLDA) is widely implemented in speaker
verification tasks. However, PLDA has limitations owing to its assumptions. In this study, we …

The development of methods based on artificial intelligence for the classification of medical
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …

In the age of artificial intelligence, it is important for machines to figure out who is speaking
automatically and in what language-a task humans are naturally capable of. Developing …

Das Kartenspiel Yu-Gi-Oh wurde als Testumgebung gewählt, da es eine hervorragende
Gelegenheit bietet, die verschiedenen Verfahren der Bilderkennung zu validieren. Auf den …