8 papers
Music Restoration via Latent Operator Optimization and Diffusion Model Priors
Michal Å vento, Eloi Moliner, Valtteri Kallinen +3
Music restoration seeks to recover a clean signal from an observed recording degraded by an unknown effect, distortion, or corruption. Existing systems often rely on paired trainin…
Automatic Audio Equalization with Semantic Embeddings
Eloi Moliner, Vesa Välimäki, Konstantinos Drossos +1
This paper presents a data-driven approach to automatic blind equalization of audio by predicting log-mel spectral features and deriving an inverse filter. The method uses a deep n…
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…
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…
Optimizing tiny colorless feedback delay networks
Gloria Dal Santo, Karolina Prawda, Sebastian J. Schlecht +1
A common bane of artificial reverberation algorithms is spectral coloration in the synthesized sound, typically manifesting as metallic ringing, leading to a degradation in the per…