5 citations · 6 across the 10 of their papers we have counts for
13 papers
Melody Guidance for Audio Diffusion Models Without Retraining
Cristobal Andrade, Sebastian J. Schlecht, Ben Maman +1
Controlling melody in audio generation normally requires training a conditional generative model on audio paired with pitch curves or MIDI notes. We instead guide an existing uncon…
Perception-Inspired Bayesian Causal Fusion for Audiovisual Source Localization
Kyung Yun Lee, Sungnyun Kim, Sebastian J. Schlecht +2
Multimodal fusion promises more accurate perception but only when the modalities share a common cause. When they do not, the second modality carries no information about the target…
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…
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…
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…
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…
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…
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…
Modeling nonuniform energy decay through the modal decomposition of acoustic radiance transfer (MoD-ART)
Matteo Scerbo, Sebastian J. Schlecht, Randall Ali +2
Modeling late reverberation in real-time interactive applications is a challenging task when multiple sound sources and listeners are present in the same environment. This is espec…
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…
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…
Non-Exponential Reverberation Modeling Using Dark Velvet Noise
Jon Fagerström, Sebastian J. Schlecht, Vesa Välimäki
Previous research on late-reverberation modeling has mainly focused on exponentially decaying room impulse responses, whereas methods for accurately modeling non-exponential reverb…