Projects

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How does cross-country variation in auditor regulation affect multinational companies: investigating the case of the EU Audit Reform KU Leuven

Simon Dekeyser
Department of Accountancy and Taxation, Antwerp Campus, Research Centre for Accounting & Taks, Brussels Campus
The goal of this project is to investigate the impact of the EU Audit Reform on various aspects of multinational group financial reporting: i) auditor choice, ii) financial reporting quality and iii) cost of financing. Multinational groups have an important role in the global economy accounting for about one-third of world GDP (OECD, 2018). Consequently, the truthfulness of their financial statements is of critical importance the entire global ...

CoReAD - Cognitive Research in AD - Towards a model determining cognitive load in audio described audio(-visual) products. University of Antwerp

Gert Vercauteren
Translation, Interpreting and Intercultural Studies (TricS)
Inclusion and accessibility are higher on Europe's political and social agenda than ever before, and this has led broadcasters, film houses but also theatres and museums to start developing services to give people with disabilities access to their products and events. For blind and partially sighted people, audio description (AD) has been created, a service that describes visual and unclear sound elements for the visually impaired, so that they ...

Towards a greater accessibility of audiovisual media: exploring machine translation for audio description from English into Dutch. University of Antwerp

Translation, Interpreting and Intercultural Studies (TricS)
A key concern within Translation Studies is the profound impact of technological developments on the dynamic human-machine interactions. In this respect, the introduction of neural machine translation systems has had a profound influence on the study and practice of translation. The role of technology is particularly outspoken in the area of focus of the present project, namely Audio Description (AD). AD is an access service that translates ...

3D audio personalization for virtual reality applications. University of Antwerp

Herbert Peremans
Co-Design of Cyber-Physical Systems (Cosys-Lab), Condensed Matter Theory, Engineering Management
Our previous research resulted in a low-cost and user-friendly do-it-yourself method that allows a user to measure their Head Related Transfer Function (HRTF) at home. While it is recognized that personalized 3D audio can add significant value to VR applications in a Business to Business environment, e.g. VR safety training, it appears that in addition to an efficient way of personalizing 3D audio, i.e. an HRTF measurement, two more elements are ...

Deep-Learning based Joint Audio, Video Processing for Augmented Listening Ghent University

Nilesh Madhu
Department of Electronics and information systems, Department of Telecommunications and information processing

Augmented listening implies the extraction of desired audio signal(s) from a distorted capture. Like human perception of speech, where visual and acoustic cues jointly contribute to the understanding, we aim to improve this extraction by augmenting the audio with visual information. A side-application is the detection of inconsistent streams, hinting at deepfakes or otherwise compromised streams.

Distributed Digital Signal Processing for Ad-hoc Wireless Local Area Audio Networking KU Leuven

Marc Moonen
Dynamical Systems, Signal Processing and Data Analytics (STADIUS)
This project aims at conceiving a novel digital signal processing (DSP) framework to encourage the development of a next generation of speech and audio systems and devices, capable of exploiting wireless connectivity for enhancing acoustic signal capture and playback. A wireless local area audio network (WLAAN) is envisaged, in which different user devices can seamlessly cooperate to solve device-specific or joint DSP tasks by efficiently ...

A holistic approach to the design of integrated and distributed digital signal processing algorithms for audio and speech communication devices KU Leuven

Marc Moonen
Dynamical Systems, Signal Processing and Data Analytics (STADIUS)
Present-day audio and speech communication devices have advanced digital signal processing (DSP) functions on board such as signal enhancement, acoustic echo and feedback cancellation, dereverberation, active noise control, etc. Nevertheless, improving the performance of these individual DSP functions as well as their general robustness in real-life scenarios is still a topic of on-going research. Currently, there is a growing interest in the ...

The effect of professional experience on audio description process. University of Antwerp

Anna Jankowska
Translation, Interpreting and Intercultural Studies (TricS)
BACKGROUND: Audiovisual content prevails in many modern societies. However, not all audiences can access the audiovisual content in its original form due to language barriers or sensory impairments (Greco, 2016). This is where audiovisual translation (AVT) and media accessibility (MA) come into play, providing access services such as e.g., subtitling, dubbing, captioning and audio description (AD). AVT&MA is the most dynamically developing ...

Audio classification with resource-constrained wireless sensor networks KU Leuven

Peter Karsmakers, Bart Vanrumste, Toon van Waterschoot
Declarative Languages and Artificial Intelligence (DTAI), Dynamical Systems, Signal Processing and Data Analytics (STADIUS), Electrical Engineering Technology (ESAT), Group T Leuven Campus

Smart sensing has been subject of significant academic and industrial interest, as these services are becoming more popular due to integrated devices shrinking in size while maintaining their computational power. When designing an integrated solution for a given application, an important choice is to select a proper set of sensor modalities along with the amount of sensors that are needed to cover the environment. In this dissertation, ...

Usage and construction of similarity measures for audio fragments Ghent University

Department of Applied Mathematics, Computer Science and Statistics

The aim of this project is investigating if fuzzy set theory can be valuable for using and constructing similarity measures for audio fragments. An important aspect of the project is trying to identify audio fragments with fuzzy sets, such that existing or new fuzzy similarity measures can be used to determine the gradual resemblance between two fragments.