2 citations · 4 across the 8 of their papers we have counts for
6 papers · 1 filter
Real-time Speech Restoration using Data Prediction Mean Flows
Sebastian Braun
Generative models are capable to address difficult problems with non-unique solutions like bandwidth extension and gap filling, removing highly non-linear artifacts from codecs, cl…
SALAD-VAE: Semantic Audio Compression with Language-Audio Distillation
Sebastian Braun, Hannes Gamper, Dimitra Emmanouilidou
Modern generative and multimodal models increasingly rely on compact latent representations that trade and balance semantic richness with high-fidelity reconstruction. We introduce…
Distributed Asynchronous Device Speech Enhancement via Windowed Cross-Attention
Gene-Ping Yang, Sebastian Braun
The increasing number of microphone-equipped personal devices offers great flexibility and potential using them as ad-hoc microphone arrays in dynamic meeting environments. However…
Multi-label audio classification with a noisy zero-shot teacher
Sebastian Braun, Hannes Gamper
We propose a novel training scheme using self-label correction and data augmentation methods designed to deal with noisy labels and improve real-world accuracy on a polyphonic audi…
Gaussian Flow Bridges for Audio Domain Transfer with Unpaired Data
Eloi Moliner, Sebastian Braun, Hannes Gamper
Audio domain transfer is the process of modifying audio signals to match characteristics of a different domain, while retaining the original content. This paper investigates the po…
Adapting Frechet Audio Distance for Generative Music Evaluation
Azalea Gui, Hannes Gamper, Sebastian Braun +1
The growing popularity of generative music models underlines the need for perceptually relevant, objective music quality metrics. The Frechet Audio Distance (FAD) is commonly used…