In this paper, we present a comprehensive review of the literature on biometric user
authentication, encompassing an analysis of key aspects such as the selection of biometric …

The construction of speaker-specific acoustic models for automatic speaker recognition is
almost exclusively based on deep neural network-based speaker embeddings. This work …

In an actual indoor acoustic environment, the signal processing technique to extract the low-
noise and low-reverberation speech signal of a particular speaker from the mixed audio …

Voice user interface (VUI) brings high efficiency and convenience for the applications of
Internet of Things (IoT), meanwhile, it can also cause increasingly serious security issues …

The integration of microphones into sensors and systems, serving as input interfaces to
intelligent applications and industrial manufacture, has raised growing public concerns …

Authentication systems are pivotal in fortifying security measures against unauthorized
access. Yet, they often fall short of effectively combating impersonation attacks, leaving …

Utility-optimized local differential privacy (ULDP) considers input domain including non-
sensitive values which reduces utility loss by leaking some non-sensitive values, without …

Preventing cyber assaults is crucial in the setting of a smart city, which is more vulnerable to
such threats. Spoofing is a kind of cyber assault that is becoming more widespread across …

为提高智能家居语音验证系统中重放语音的检测精度ꎬ 提出了一种新型的单词级语音活体检测
方法ꎬ 采用轻量型卷积全局门控循环神经网络(light convolutional global gate recurrent neural …