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

Modeling speaker embeddings using deep neural networks is currently state-of-the-art in
speaker recognition. Recently, ResNet-based structures have gained a broader interest …

A typical speaker recognition system often involves two modules: a feature extractor front-
end and a speaker identification back-end. Despite the superior performance that deep …

Deep-Neural-Network (DNN) based speaker verification sys-tems use the angular softmax
loss with margin penalties toenhance the intra-class compactness of speaker embeddings …

The fusion of two or more traits in multimodal biometrics generally improves recognition
accuracy. The question is, by how much? Large-scale databases are better suited for …

DeltaVLAD: An efficient optimization algorithm to discriminate speaker embedding for text-independent
speaker verification Page 1 AIMS Mathematics, 7(4): 6381–6395. DOI: 10.3934/math.2022355 …

In this paper we investigate several sparse dereverberation methods which provide signal
enhancement in reverberant environments with the aim to apply them as a preprocessing …