Machine learning for indoor acoustics - Antoine Deleforge
2021 Intelligent Sensing Winter School
Machine learning for indoor acoustics
Antoine Deleforge, Inria Nancy
Close your eyes clap your hands. Can you hear the shape of the room? What about the carpet on the floor? In this talk, we will see how machine learning, physics and signal processing can be jointly leveraged to tackle these difficult inverse problems, with applications ranging from acoustic diagnosis to audio augmented reality. In particular, we will introduce the unifying methodological framework of "virtual acoustic space learning", review some of its recent promising results and discuss some of its current bottlenecks.
Slides: http://cis.eecs.qmul.ac.uk/2021Winter...
As part of the 2021 Intelligent Sensing Winter School: http://cis.eecs.qmul.ac.uk/school2021...