4 papers
Influence of Geometrical Acoustic Simulator Complexity on a Trained Multisource Localizer
Fabian Staub, Nils Meyer-Kahlen, Thomas Deppisch +4
Learning-based acoustic sound source localization and detection (SSLD) requires large labeled datasets covering diverse acoustic conditions. Since obtaining measured data is costly…
Direction-Preserving MIMO Speech Enhancement Using a Neural Covariance Estimator
Thomas Deppisch
Multichannel speech enhancement is widely used as a front-end in microphone array processing systems. While most existing approaches produce a single enhanced signal, direction-pre…
Residual Learning for Neural Ambisonics Encoders
Thomas Deppisch, Yang Gao, Manan Mittal +4
Emerging wearable devices such as smartglasses and extended reality headsets demand high-quality spatial audio capture from compact, head-worn microphone arrays. Ambisonics provide…
Mixture-of-Experts Framework for Field-of-View Enhanced Signal-Dependent Binauralization of Moving Talkers
Manan Mittal, Thomas Deppisch, Joseph Forrer +4
We propose a novel mixture of experts framework for field-of-view enhancement in binaural signal matching. Our approach enables dynamic spatial audio rendering that adapts to conti…