Projects
Natural Language Processing analysis of connected speech in Alzheimer disease and related disorders KU Leuven
Language and speech are fundamental for communication between people. Language and speech skills are determined by the extent to which we see and manifest ourselves towards our neighbors and how we participate in society. Studies of well-known individuals who have died of Alzheimer's disease, such as Ronald Reagan or Gerard Reve, have shown that Alzheimer's has altered changes in their lyrics and speeches even before the disease symptoms and ...
Location-secured cryptographic solutions based on acoustic signals for smart embedded connected systems and passive nodes KU Leuven
Connected devices are creating a smart world: smart homes, hospitals, and cities, smart cars, logistics and industries. The success of new applications employing wireless devices will heavily depend on the security of these embedded systems. The geographical position of persons and devices can be very relevant information in many applications requiring secure authentication over wireless links. For example, contactless payment solutions and ...
Speech Processing Techniques for Automatic Detection of Disorders in the Human Brain KU Leuven
Natural Language Processing (NLP) is the branch of artificial intelligence that allows computers to interpret and manipulate language. In this project, we apply NLP to spontaneous speech obtained in cognitively normal elderly persons and in patients who are in the early stages of Alzheimer's disease. We investigate to what extent NLP features of speech are related to individual brain properties: regional volume, functional connectivity and ...
Cooperative Signal Processing Solutions for IoT-based Multi-User Speech Communication Systems KU Leuven
Decoding imagined speech from electrocorticography KU Leuven
Technology that translates brain activity into speech could be
transformative for patients deprived of it. Studies have reported
impressive results when decoding intracranial recordings, called
electrocorticography (ECoG), in response to performed or perceived
speech. However, to serve the needs of the speech impaired, one
should aim for non-vocalized speech, also called imagined or inner
speech. Despite ...
Design of distributed parameter and signal estimation algorithms and joint network layer resource allocation for speech enhancement in ad-hoc wireless acoustic sensor networks. KU Leuven
A holistic approach to the design of integrated and distributed digital signal processing algorithms for audio and speech communication devices KU Leuven
Digital signal processing for digital communication, audio- and speech signal processing KU Leuven
Marc Moonen supervises a research team of pre- and postdoctoral researchers performing research in digital signal processing algorithms design and evaluation, for digital communication and audio- and speech signal processing. Digital communication activities are targeted towards physical layer processing (e.g. equalization, multiple-access, interference/crosstalk cancellation and MIMO transmission techniques) and resource allocation, in ...
Filled pauses from a multimodal perspective. On the interplay of speech and eye gaze. KU Leuven
This project offers a novel, integrative approach on filled pauses, the elements ‘euh‘ and ‘euhm’ in Dutch. Insights on filled pauses from various research traditions are united to obtain a comprehensive overview of their form and function. Starting from a cognitive-interactional framework, our analysis relates formal variation in filled pauses to the functional variation. We show that formal differences in filled pauses, such as the ...