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Detection and classification of acoustic scenes and events: An IEEE AASP challenge

机译：声音场景和事件的检测和分类：IEEE AASP的挑战

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摘要

This paper describes a newly-launched public evaluation challenge on acoustic scene classification and detection of sound events within a scene. Systems dealing with such tasks are far from exhibiting human-like performance and robustness. Undermining factors are numerous: the extreme variability of sources of interest possibly interfering, the presence of complex background noise as well as room effects like reverberation. The proposed challenge is an attempt to help the research community move forward in defining and studying the aforementioned tasks. Apart from the challenge description, this paper provides an overview of systems submitted to the challenge as well as a detailed evaluation of the results achieved by those systems.
机译：本文介绍了一个新推出的针对声音场景分类和场景内声音事件检测的公共评估挑战。处理此类任务的系统远没有表现出类似于人的性能和健壮性。破坏因素众多：感兴趣的信号源的极端可变性可能会干扰，复杂的背景噪声的存在以及诸如混响之类的房间效应。提出的挑战是试图帮助研究界在定义和研究上述任务中前进。除了挑战说明之外，本文还概述了提交给挑战的系统，并对这些系统所取得的结果进行了详细的评估。

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