14 citations · 15 across the 6 of their papers we have counts for
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eess.AS2023
Data-driven 3D Room Geometry Inference with a Linear Loudspeaker Array and a Single Microphone
Cagdas Tuna, Altan Akat, H. Nazim Bicer +2
Knowing the room geometry may be very beneficial for many audio applications, including sound reproduction, acoustic scene analysis, and sound source localization. Room geometry in…
eess.AS2023★ 1 cited
Contrastive Representation Learning for Acoustic Parameter Estimation
Philipp Götz, Cagdas Tuna, Andreas Walther +1
A study is presented in which a contrastive learning approach is used to extract low-dimensional representations of the acoustic environment from single-channel, reverberant speech…