5 citations · 6 across the 10 of their papers we have counts for
5 papers · 1 filter
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…