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

Speaker verification involves examining the speech signal to authenticate the claim of a
speaker as true or false. Deep neural networks are one of the successful implementation of …

Developing a good speaker embedding has received tremendous interest in the speech
community. Speaker representations such as i-vector, d-vector have shown their superiority …

This paper explores two techniques to improve the performance of text-dependent speaker
verification systems based on deep neural networks. Firstly, we propose a general …

This paper proposes a multi-task learning network with phoneme-aware and channel-wise
attentive learning strategies for text-dependent Speaker Verification (SV). In the proposed …

In the last decade, i-vector and Joint Factor Analysis (JFA) approaches to speaker modeling
have become ubiquitous in the area of automatic speaker recognition. Both of these …

In this paper, we are interested in exploring Deep Neural Network (DNN) based speaker
embedding for Random-digit task using content information. To this end, a technique is …

In this paper, we study a novel technique that exploits the interaction between speaker traits
and linguistic content to improve both speaker verification and utterance verification …

Text-dependent speaker verification is becoming popular in the speaker recognition society.
However, the conventional i-vector framework which has been successful for speaker …

In this paper, we propose a new differentiable neural network with an alignment mechanism
for text-dependent speaker verification. Unlike previous works, we do not extract the …