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

Improving speech system performance in noisy environments remains a challenging task,
and speech enhancement (SE) is one of the effective techniques to solve the problem …

This paper presents an unsupervised segment-based method for robust voice activity
detection (rVAD). The method consists of two passes of denoising followed by a voice …

In this paper, we study aspects of single microphone speech enhancement (SE) based on
deep neural networks (DNNs). Specifically, we explore the generalizability capabilities of …

This paper presents a far-field text-dependent speaker verification database named HI-MIA.
We aim to meet the data requirement for far-field microphone array based speaker …

Despite the significant improvements in speaker recognition enabled by deep neural
networks, unsatisfactory performance persists under noisy environments. In this paper, we …

In this paper we propose a Deep Neural Network (D NN) based Speech Enhancement (SE)
system that is designed to maximize an approximation of the Short-Time Objective …

In this paper, we focus on the far-field end-to-end textdependent speaker verification task
with a small-scale far-field text dependent dataset and a large scale close-talking text …

When speaking in presence of background noise, humans reflexively change their way of
speaking in order to improve the intelligibility of their speech. This reflex is known as …

Bone-conduction microphones (BCMs) capture speech signals based on the vibrations of
the speaker's skull and exhibit better noise-resistance capabilities than normal air …