collaborators

5 papers

eess.AS2026

Learning Filters in Feedback Delay Networks from Noisy Room Impulse Responses

Gloria Dal Santo, Karolina Prawda, Sebastian J. Schlecht +1

Recursion is a fundamental concept in the design of filters and audio systems. In particular, artificial reverberation systems that use delay networks depend on recursive paths to…

eess.AS2026

Differentiable Grouped Feedback Delay Networks for Learning Coupled Volume Acoustics

Orchisama Das, Gloria Dal Santo, Sebastian J. Schlecht +2

Rendering dynamic reverberation in a complicated acoustic space for moving sources and listeners is challenging but crucial for enhancing user immersion in extended-reality (XR) ap…

eess.AS2025

Similarity Metrics For Late Reverberation

Gloria Dal Santo, Karolina Prawda, Sebastian J. Schlecht +1

Automatic tuning of reverberation algorithms relies on the optimization of a cost function. While general audio similarity metrics are useful, they are not optimized for the specif…

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.AS2025

FLAMO: An Open-Source Library for Frequency-Domain Differentiable Audio Processing

Gloria Dal Santo, Gian Marco De Bortoli, Karolina Prawda +2

We present FLAMO, a Frequency-sampling Library for Audio-Module Optimization designed to implement and optimize differentiable linear time-invariant audio systems. The library is o…