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  • Bayesian Inference – Fundamental research of models and methods that allow for the update of hypotheses as new data becomes available

  • Acoustic Signal Processing – Extraction and fusion of information acquired from audio signals emitted in enclosed environments

  • Robot Audition – Equipping robots and autonomous systems with the ability to learn and adapt to their acoustic environments

Localization & Tracking

Methods to address the questions “who / what is where”?

Acoustic SLAM

Methods to address the question “who is where and where am I”?

Environment Awareness

Methods to address the question “what kind of room am I in?”

Speech Enhancement

Methods to address the question “what did Joe say?”

Latest Publications

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“LOCATA Challenge-Evaluation Tasks and Measures”

Access: International Workshop on Acoustic Signal Enhancement (IWAENC) Authors: Christine Evers, Heinrich W. Löllmann, Heinrich Mellmann, Alexander Schmidt, Hendrik Barfuss, Patrick A. Naylor, Walter Kellermann Abstract: Sound source localization and tracking algorithms provide estimates of [...]

“DoA Reliability for Distributed Acoustic Tracking”

Access: IEEE Signal Processing Letters Supplemental Material of Mathematical Proofs Authors: Christine Evers, Emanuël A. P. Habets, Sharon Gannot, and Patrick A. Naylor Abstract: Distributed acoustic tracking estimates the trajectories of source positions using an acoustic [...]

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“To raise new questions, new possibilities, to regard old problems from a new angle, requires creative imagination and marks real advance in science.”



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