Deep neural networks (DNNs) face many problems in the very high resolution remote
sensing (VHRRS) per-pixel classification field. Among the problems is the fact that as the …

Attestation of audio signals for recognition of forgery in voice is challenging task. In this
research work, a deep convolutional neural network (CNN) is utilized to detect audio …

Breast cancer is the most dangerous type of cancer and one of the most lethal for women,
both in underdeveloped and central countries. Breast thermography is an emerging imaging …

This paper presents combining two data augmentation methods involving speed
perturbation and room impulse response reverberation for the purpose of improving the …

Voice spoofing attempts to break into a specific automatic speaker verification (ASV) system
by forging the user's voice and can be used through methods such as text-to-speech (TTS) …

Nowadays, speech spoofing is so common that it presents a great challenge to social
security. Thus, it is of great significance to recognize a spoofed speech from a genuine one …

Voice disguise is a major concern in forensic automatic speaker recognition (FASR).
Classifying the type of disguise is very important for speaker recognition. Pitch disguise is a …

Voice spoofing attempts to break into a specific automatic speaker verification (ASV) system
by forging the user's voice, and can be used through methods, such as text-to-speech (TTS) …

Pitch shifting is a common voice editing technique in which the original pitch of a digital
voice is raised or lowered. It is likely to be abused by the malicious attacker to conceal …

As an efficient spoofing attack, pitch scaling can conceal speakers' identities at a low cost by
raising or lowering the pitch in a linear style, making it harmful to the security of speaker …