Acoustic event detection - Acoustic event detection: sparse signal representations, embedded optimization algorithms, and case studies
From 01-10-2014 to 30-09-2018
Description
This research project is aimed at the development of a generic framework for acoustic event detection based on sparse audio signal representations, and at the design and evaluation of embedded acoustic event detection algorithms. An acoustic event is defined as a short-time segment of an acoustic signal indicating a change in the physical conditions of the sound source generating the signal. Acoustic event detection has applications in speech/music technology, audio surveillance, ambient assisted living, bio-monitoring, etc.
We will explore a novel approach to acoustic event detection which is based on sparse signal representations. Sparse representations have recently become a powerful tool in audio signal processing and rely on the assumption that a given signal frame can be represented by a small number of basis functions (atoms) from a large and redundant (overcomplete) dictionary. We propose the use of a two-class dictionary consisting of two types of atoms: (1) atoms that can efficiently represent steady-state signal behavior and (2) atoms that can efficiently represent transient behavior. The rationale of our approach is that one can deduce whether or not an event occurs in a given signal frame, by quantifying the relative importance of steady-state versus transient atoms in the sparse approximation of that particular frame.
The proposed approach opens a number of valorization perspectives in different audio applications. These perspectives will be explored in the proposed project through a number of case studies, and several valorization-oriented follow-up research projects will be defined in collaboration with key industrial partners.
Team
- Bart Vanrumste, Co-promoter
- Peter Karsmakers, Co-promoter
- Toon van Waterschoot, Promoter
- Mina Mounir Abdelmessih Shehata, Team member
Financing
Funding: KU Leuven - Internal Funding KU Leuven
Program/Grant Type: Impulsfonds - KU Leuven Impulsfinanciering
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.