Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring
safe and efficient air traffic control (ATC). The handling of these voice communications …

The widespread use of deep learning techniques for creating realistic synthetic media,
commonly known as deepfakes, poses a significant threat to individuals, organizations, and …

In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic
controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI) …

Unlike the traditional model, the end-to-end (E2E) ASR model does not require speech
information such as a pronunciation dictionary, and its system is built through a single neural …

Diarization is an important task when work with audiodata is executed, as it provides a
solution to the problem related to the need of dividing one analyzed call recording into …

Multimodal deep learning, in the context of biometrics, encounters significant challenges
due to the dependence on long speech utterances and RGB images, which are often …

Deep learning-based speech-enhancement techniques have recently been an area of
growing interest, since their impressive performance can potentially benefit a wide variety of …

In the real world, multimodal sentiment analysis (MSA) enables the capture and analysis of
sentiments by fusing multimodal information, thereby enhancing the understanding of real …

Recently, there has been a significant surge of interest in Self-Attention Networks (SANs)
based on the Transformer architecture. This can be attributed to their notable ability for …

Multimodal emotion recognition implies the use of different resources and techniques for
identifying and recognizing human emotions. A variety of data sources such as faces …