3 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.AS2026
Learning Input-Channel Permutation Equivariance for Multi-Channel Source Separation: Reducing Bleeding in Small Music Ensembles
Ruchi Pandey, Jaime Garcia-Martinez, Pablo Cabanas-Molero +5
Microphone bleed is a persistent challenge in small ensembles and orchestral recordings, where close microphones intended for individual instruments also capture leakage from nearb…
eess.AS2022★ 3 cited
Neural network for multi-exponential sound energy decay analysis
Georg Götz, Ricardo Falcón Pérez, Sebastian J. Schlecht +1
An established model for sound energy decay functions (EDFs) is the superposition of multiple exponentials and a noise term. This work proposes a neural-network-based approach for…