3 papers
cs.SD2026
Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score
Yang Xiang, Philipp Götz, Emanuël A. P. Habets +3
Room embeddings derived from reverberant speech are often unreliable: speech content and recording degradation can alter the representation even when speaker, room, and source-rece…
eess.AS2025
Matching Reverberant Speech Through Learned Acoustic Embeddings and Feedback Delay Networks
Philipp Götz, Gloria Dal Santo, Sebastian J. Schlecht +2
Reverberation conveys critical acoustic cues about the environment, supporting spatial awareness and immersion. For auditory augmented reality (AAR) systems, generating perceptuall…
eess.AS2024
Blind Acoustic Parameter Estimation Through Task-Agnostic Embeddings Using Latent Approximations
Philipp Götz, Cagdas Tuna, Andreas Brendel +2
We present a method for blind acoustic parameter estimation from single-channel reverberant speech. The method is structured into three stages. In the first stage, a variational au…