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

Speech enhancement and speech separation are two related tasks, whose purpose is to
extract either one or more target speech signals, respectively, from a mixture of sounds …

摘要This paper introduces a new method to extract speaker embed-dings from a deep
neural network (DNN) for text-independent speaker verification. Usually, speaker …

In this paper, we use data augmentation to improve performance of deep neural network
(DNN) embeddings for speaker recognition. The DNN, which is trained to discriminate …

In this paper, we propose a new loss function called generalized end-to-end (GE2E) loss,
which makes the training of speaker verification models more efficient than our previous …

In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

Research on speaker recognition is extending to address the vulnerability in the wild
conditions, among which genre mismatch is perhaps the most challenging, for instance …

Text-independent speaker verification against short utterances is still challenging despite of
recent advances in the field of speaker recognition with i-vector framework. In general, to get …

Automatic speaker verification systems are increasingly used as the primary means to
authenticate costumers. Recently, it has been proposed to train speaker verification systems …

Once a popular theme of futuristic science fiction or far-fetched technology forecasts, digital
home assistants with a spoken language interface have become a ubiquitous commodity …