2 citations · 3 across the 4 of their papers we have counts for
7 papers
Interpretable Destination-Aware Synthesizer Modulation Recovery
David Liu, Giulio Cengarle, David Cooper +2
Synthesizer programming is a challenging task, particularly in configuring modulation: the time-varying control of parameters such as pitch, filter cutoff, and oscillator level by…
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…
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…
Mono-to-stereo through parametric stereo generation
Joan Serrà, Davide Scaini, Santiago Pascual +4
Generating a stereophonic presentation from a monophonic audio signal is a challenging open task, especially if the goal is to obtain a realistic spatial imaging with a specific pa…
Upsampling layers for music source separation
Jordi Pons, Joan Serrà, Santiago Pascual +3
Upsampling artifacts are caused by problematic upsampling layers and due to spectral replicas that emerge while upsampling. Also, depending on the used upsampling layer, such artif…
Upsampling artifacts in neural audio synthesis
Jordi Pons, Santiago Pascual, Giulio Cengarle +1
A number of recent advances in neural audio synthesis rely on upsampling layers, which can introduce undesired artifacts. In computer vision, upsampling artifacts have been studied…