Huge amounts of unstructured data including image, video, audio, and text are ubiquitously
generated and shared, and it is a challenge to protect sensitive personal information in …

Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …

Mel-filterbanks are fixed, engineered audio features which emulate human perception and
have been used through the history of audio understanding up to today. However, their …

Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

Abstract Automatic Speaker Verification (ASV) enables high-security applications like user
authentication or criminal investigation. However, ASV can be subjected to malicious …

Spoofing countermeasure systems protect Automatic Speaker Verification (ASV) systems
from spoofing attacks such as replay, synthesis, and conversion. However, research has …

Adversarial examples are designed to fool the speaker recognition (SR) system by adding a
carefully crafted human-imperceptible noise to the speech signals. Posing a severe security …

The promise of new neuroprotective treatments to stop or slow the advance of Parkinson's
Disease (PD) urges for new biomarkers or detection schemes that can deliver a faster …

Speaker recognition systems based on deep speaker embeddings have achieved
significant performance in controlled conditions according to the results obtained for early …

Widespread practice across the majority of branches of forensic science uses analytical
methods based on human perception, and interpretive methods based on subjective …