7 citations · 18 across the 16 of their papers we have counts for
20 papers
Sci-Phi: A Large Language Model Spatial Audio Descriptor
Xilin Jiang, Hannes Gamper, Sebastian Braun
Acoustic scene perception involves describing the type of sounds, their timing, their direction and distance, as well as their loudness and reverberation. While audio language mode…
Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
Yuanchao Li, Azalea Gui, Dimitra Emmanouilidou +1
The complex nature of musical emotion introduces inherent bias in both recognition and generation, particularly when relying on a single audio encoder, emotion classifier, or evalu…
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…
CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling
Ruihan Yang, Hannes Gamper, Sebastian Braun
We introduce a multi-modal diffusion model tailored for the bi-directional conditional generation of video and audio. We propose a joint contrastive training loss to improve the sy…
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…