With the advent of automated speaker verification (ASV) systems comes an equal and
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …

Automatic speaker verification (ASV) systems are enhanced enough, that industry is
attracted to use them practically in security systems. However, vulnerability of these systems …

The performance of biometric systems based on automatic speaker recognition technology
is severely degraded due to spoofing attacks with synthetic speech generated using different …

During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …

Most of the existing feature representations for spoofing countermeasures consider
information either from the magnitude or phase spectrum. We hypothesize that both …

The automatic speaker verification spoofing and countermeasures challenge 2015 provides
a common framework for the evaluation of spoofing countermeasures or anti-spoofing …

Malicious actors may seek to use different voice spoofing attacks to fool ASV systems and
even use them for spreading misinformation. Various countermeasures have been proposed …

Recent works on the vulnerability of automatic speaker verification (ASV) systems confirm
that malicious spoofing attacks using synthetic speech can provoke significant increase in …

Previous studies of speech emotion recognition utilize convolutional neural network (CNN)
directly on amplitude spectrogram to extract features. CNN combines with bidirectional long …

In many speech processing applications, the spectral amplitude is the dominant information
while the use of phase spectrum is not so widely spread. In this paper, we present an …