10 papers
Compiling Differentiable Audio Graphs to Real-Time DSP
Facundo Franchino, Sebastian J. Schlecht
Differentiable audio processors are habitually designed and optimised in machine-learning frameworks, but deploying them as real-time audio effects still often requires non-automat…
Audio-to-Audio via Diffusion Warm Initialization
Cristóbal Andrade, Sebastian J. Schlecht
In this paper, we propose diffusion warm initialization as a simple yet effective approach for a range of audio-to-audio transformation tasks. To illustrate the generality of the a…
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…
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…
Solving Room Impulse Response Inverse Problems Using Flow Matching with Analytic Wiener Denoiser
Kyung Yun Lee, Nils Meyer-Kahlen, Vesa Välimäki +1
Room impulse response (RIR) estimation naturally arises as a class of inverse problems, including denoising and deconvolution. While recent approaches often rely on supervised lear…
AnyRIR: Robust Non-intrusive Room Impulse Response Estimation in the Wild
Kyung Yun Lee, Nils Meyer-Kahlen, Karolina Prawda +2
We address the problem of estimating room impulse responses (RIRs) in noisy, uncontrolled environments where non-stationary sounds such as speech or footsteps corrupt conventional…