Acoustic Characterization of Environments (ACE) Challenge Results Technical Report
James Eaton, Nikolay D. Gaubitch, Alastair H. Moore, Patrick, A. Naylor
TL;DR
This paper reports the results of evaluating acoustic parameter estimation algorithms on the ACE Challenge dataset, highlighting the performance of various methods in environmental sound characterization.
Contribution
It presents a comprehensive evaluation of acoustic parameter estimation algorithms on a standardized dataset, facilitating comparison and advancing research in acoustic environment characterization.
Findings
Algorithms' performance metrics on ACE dataset
Insights into strengths and weaknesses of different methods
Benchmarking results for future research
Abstract
This document provides the results of the tests of acoustic parameter estimation algorithms on the Acoustic Characterization of Environments (ACE) Challenge Evaluation dataset which were subsequently submitted and written up into papers for the Proceedings of the ACE Challenge. This document is supporting material for a forthcoming journal paper on the ACE Challenge which will provide further analysis of the results.
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