15 papers
AID: Open-source Anechoic Interferer Dataset
Philipp Götz, Cagdas Tuna, Andreas Walther +1
A dataset of anechoic recordings of various sound sources encountered in domestic environments is presented. The dataset is intended to be a resource of non-stationary, environment…
Neural Directional Filtering with Configurable Directivity Pattern at Inference
Weilong Huang, Srikanth Raj Chetupalli, Emanuël A. P. Habets
Spatial filtering with a desired directivity pattern is advantageous for many audio applications. In this work, we propose neural directional filtering with user-defined directivit…
VoxATtack: A Multimodal Attack on Voice Anonymization Systems
Ahmad Aloradi, Ãnal Ege Gaznepoglu, Emanuël A. P. Habets +1
Voice anonymization systems aim to protect speaker privacy by obscuring vocal traits while preserving the linguistic content relevant for downstream applications. However, because…
You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks
Ãnal Ege Gaznepoglu, Anna Leschanowsky, Ahmad Aloradi +4
Speaker anonymization systems hide the identity of speakers while preserving other information such as linguistic content and emotions. To evaluate their privacy benefits, attacks…
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…
Align-ULCNet: Towards Low-Complexity and Robust Acoustic Echo and Noise Reduction
Shrishti Saha Shetu, Naveen Kumar Desiraju, Wolfgang Mack +1
The successful deployment of deep learning-based acoustic echo and noise reduction (AENR) methods in consumer devices has spurred interest in developing low-complexity solutions, w…