148 citations · 176 across the 10 of their papers we have counts for
3 papers · 1 filter
The LOCATA Challenge: Acoustic Source Localization and Tracking
Christine Evers, Heinrich Loellmann, Heinrich Mellmann +4
The ability to localize and track acoustic events is a fundamental prerequisite for equipping machines with the ability to be aware of and engage with humans in their surrounding e…
Detecting Sound-Absorbing Materials in a Room from a Single Impulse Response using a CRNN
Constantinos Papayiannis, Christine Evers, Patrick A. Naylor
The materials of surfaces in a room play an important room in shaping the auditory experience within them. Different materials absorb energy at different levels. The level of absor…
Data Augmentation of Room Classifiers using Generative Adversarial Networks
Constantinos Papayiannis, Christine Evers, Patrick A. Naylor
The classification of acoustic environments allows for machines to better understand the auditory world around them. The use of deep learning in order to teach machines to discrimi…