The development of automatic systems that can detect replayed speech has emerged as a
significant research challenge for securing voice biometric systems and is the focus of this …

In this time of technology, digital speech can be created and falsified by a very diverse of
hardware and software technologies. Audio copy-move forgery is an audio forgery …

Voice-controlled devices are in demand due to their hands-free controls. However, using
voice-controlled devices in sensitive scenarios like smartphone applications and financial …

Abstract Automatic Speaker Verification (ASV) systems are vulnerable to a variety of voice
spoofing attacks, eg, replays, speech synthesis, etc. The imposters/fraudsters often use …

The ASVspoof 2017 challenge is about the detection of replayed speech from human
speech. The proposed system makes use of the fact that when the speech signals are …

Replay attacks are the simplest and the most easily accessible form of spoofing attacks on
voice biometric systems and can be hard to detect by systems designed to identify spoofing …

This paper proposes a new speech feature representation that improves the intelligibility
assessment of dysarthric speech. The formulation of the feature set is motivated from the …

Convolutional neural networks (CNN) are widely used for speech emotion recognition
(SER). In such cases, the short time fourier transform (STFT) spectrogram is the most …

The objectives of the dysarthria assessment are to discriminate dysarthric speech from
normal speech, to estimate the severity of dysarthria in terms of the dysarthric speech …

The ASVspoof 2019 challenge focuses on countermeasures for all major spoofing attacks,
namely speech synthesis (SS), voice conversion (VC), and replay spoofing attacks. This …