Speaker individuality information is among the most critical elements within speech signals.
By thoroughly and accurately modeling this information, it can be utilized in various …

As the most widely used technique, deep speaker embedding learning has become
predominant in speaker verification task recently. Very large neural networks such as …

The pooling function plays a vital role in the segment-level deep speaker embedding
learning framework. One common method is to calculate the statistics of the temporal …

This book will help readers understand fundamental and advanced statistical models and
deep learning models for robust speaker recognition and domain adaptation. This useful …

Deep speaker embedding learning based on neural networks has become the predominant
approach in speaker verification (SV) currently. In prior studies, researchers have …

With the development of deep learning, automatic speaker verification has made
considerable progress over the past few years. However, to design a lightweight and robust …

We present an efficient small-footprint network for speaker verification. We start by
introducing the bottleneck to the QuartzNet model. Then we proposed a Channel Split Time …

In forensic applications, it is very common that only small naturalistic datasets consisting of
short utterances in complex or unknown acoustic environments are available. In this study …