Vision
The Audio Analysis Lab at CREATE, Aalborg University conducts basic and applied research in signal processing theory and methods for audio and acoustic applications, and we are particularly interested in how audio can be used to ensure good health and well-being for people in their daily lives. We are, for example, interesed in how signal proecssing can be used to combat noise in many different contexts and how sound can be used in healthcare applications. The lab strives to push the boundaries of current methods and to increase the understanding of unsolved problems by pursuing mathematically tractable approaches based on statistical principles for stating, analyzing and solving these problems. In the video below, you can hear Audio Analysis Lab head and founder Prof. Mads Græsbøll Christensen talk about some of the research.
Topics
- Signal processing
- Spectral estimation
- Hearing aids
- Noise reduction
- Signal restoration
- Sound zones
- Active noise cancellation
- Voice analysis
- Acoustic arrays
- Drones and robots
- Audio analysis
Projects
- Signal Processing for Diagnosis of Parkinson’s Disease from Noisy Speech, Danish Council for Independent Research, 2015-2019.
- Signal processing for detecting the cocktail party problem and methods for enhancing listening in noisy situations (COCKTAIL), InnovationsFonden, 2014-2018.
- Localization and Tracking of Speech – A Joint Audio-Visual Approach, Danish Council for Independent Research, 2013-2016.
- Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals, Villum Foundation, 2012-2015.
- A Cognitive Systems Approach to Enriched and Actionable Information from Audio Streams (CoSound), Danish Council for Strategic Research, 2012-2015.
- Greedy Sparse Approximation and the Automatic Description of Audio and Music Data, Danish Council for Independent Research, 2012-2013.
Collaborations
- Dept. of Microelectronics, Delft University of Technology
- Mathematics Group, Aston University
- Jabra
- Capturi
- Parkinson’s Voice Initiative
- ACEZone
- Bang & Olufsen
- GN ReSound
- Dept. of Mathematical Statistics, Lund University
- INRS-EMT, University of Quebec
- Northwestern Polytechnical University
- DTU Compute, Technical University of Denmark