Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …

The availability of smart devices leads to an exponential increase in multimedia content.
However, the rapid advancements in deep learning have given rise to sophisticated …

Deep learning is progressively gaining popularity as a viable alternative to i-vectors for
speaker recognition. Promising results have been recently obtained with Convolutional …

Automatic sleep staging has been often treated as a simple classification problem that aims
at determining the label of individual target polysomnography epochs one at a time. In this …

Self-supervised speech model is a rapid progressing research topic, and many pre-trained
models have been released and used in various down stream tasks. For speech anti …

We propose in this work a feature learning approach using deep bidirectional recurrent
neural networks (RNNs) with attention mechanism for single-channel automatic sleep stage …

Deep learning is currently playing a crucial role toward higher levels of artificial intelligence.
This paradigm allows neural networks to learn complex and abstract representations, that …

In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics.
This leads to an increased interest to secure these voice biometric systems for real-world …

Unlike other biometric-based user identification methods (eg, fingerprint and iris), speaker
recognition systems can identify individuals relying on their unique voice biometrics without …

Maritime Autonomous Surface Ships (MASS) have brought a transformative wave in the
marine industry, yielding unprecedented operational advancements and efficiency gains …