Text-to-Speech (TTS) and Voice Conversion (VC) models have exhibited remarkable
performance in generating realistic and natural audio. However, their dark side, audio …

Automatic speaker verification (ASV) systems are highly vulnerable to synthetic speech
attack. And the artifacts are the key spoofing clue to distinguish real and synthetic speech. In …

As a critical component in agriculture, industry, and the military, pump anomaly detection
has recently aroused wide attention, which requires deep and abundant development and …

随着语音合成和语音转换技术的快速发展, 欺骗语音检测方法仍存在欺骗检测准确率低,
通用性差等问题. 因此, 提出一种基于上下文信息与注意力特征的端到端的欺骗检测方法 …

Automatic Speaker Verification (ASV) systems have proven to bevulnerable to various types
of presentation attacks, among whichLogical Access attacks are manufactured using …

Speaker recognition aims to recognize the identity of the speaking person. After decades of
research, current speaker recognition systems have achieved rather satisfactory …

A major difficulty in speech spoofing detection lies in improving the generalization ability to
detect unknown forgery methods. However, most previous methods do not consider the …

The main objective of the spoof detection system for speaker verification applications is to
capture the artifacts from the given speech sample. Therefore, it is important to ensure that …

For building a reliable spoof detection system for speaker verification applications, it is
important to ensure that the system generalizes well to spoof attack types unobserved during …