4 papers
Spot, Separate, and Enhance: Fully Generative Approach for Audio Mixing
Ilpo Viertola, Giulio Cengarle, Gouthaman KV +2
We introduce Spot, Separate, and Enhance (SSE), the first multimodal, user-guided generative model for audio remixing and enhancement. SSE enhances video content by rebalancing the…
Room Impulse Response Generation Conditioned on Acoustic Parameters
Silvia Arellano, Chunghsin Yeh, Gautam Bhattacharya +1
The generation of room impulse responses (RIRs) using deep neural networks has attracted growing research interest due to its applications in virtual and augmented reality, audio p…
Deep learning based spatial aliasing reduction in beamforming for audio capture
Mateusz Guzik, Giulio Cengarle, Daniel Arteaga
Spatial aliasing affects spaced microphone arrays, causing directional ambiguity above certain frequencies, degrading spatial and spectral accuracy of beamformers. Given the limita…
Improved Panning on Non-Equidistant Loudspeakers with Direct Sound Level Compensation
Jan-Hendrik Hanschke, Daniel Arteaga, Giulio Cengarle +3
Loudspeaker rendering techniques that create phantom sound sources often assume an equidistant loudspeaker layout. Typical home setups might not fulfill this condition as loudspeak…