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Found 3 papers, 2 papers with code
An experiment on an automated literature survey of data-driven speech enhancement methods
The increasing number of scientific publications in acoustics, in general, presents difficulties in conducting traditional literature surveys.
AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation Ensemble
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 approaches.
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment
The L3DAS22 Challenge is aimed at encouraging the development of machine learning strategies for 3D speech enhancement and 3D sound localization and detection in office-like environments.
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