1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.AS2024★ 1 cited
Exploring the Potential of Data-Driven Spatial Audio Enhancement Using a Single-Channel Model
Arthur N. dos Santos, Bruno S. Masiero, Túlio C. L. Mateus
One key aspect differentiating data-driven single- and multi-channel speech enhancement and dereverberation methods is that both the problem formulation and complexity of the solut…
eess.AS2023
AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation Ensemble
Túlio Chiodi, Arthur dos Santos, Pedro Martins +1
In this paper, we introduce a data-compilation ensemble, primarily intended to serve as a resource for researchers in the field of dereverberation, particularly for data-driven app…