标题： 基于声景形态学模型的事件检测评估框架 显示英文标题

标题： An evaluation framework for event detection using a morphological model of acoustic scenes

摘要： 本文介绍了一种用于环境声景的模型，该模型采用形态学方法，通过抽象声景的时间结构来实现。为了展示其潜力，该模型被用于评估大量声事件检测系统的性能。此模型使我们能够明确控制声景的关键形态特征，并隔离它们对所评估系统性能的影响。因此，可以获得更多关于被评估系统行为的信息，从而为进一步改进提供指导。所提出的模型使用IEEE DCASE挑战赛提交的系统进行了验证；结果显示，所提出的方法能够成功构建可用于评估事件检测系统某些方面（尤其是其对新听觉条件的鲁棒性以及背景声音水平增加的适应能力）的有用数据集。 显示英文摘要

摘要： This paper introduces a model of environmental acoustic scenes which adopts a morphological approach by ab-stracting temporal structures of acoustic scenes. To demonstrate its potential, this model is employed to evaluate the performance of a large set of acoustic events detection systems. This model allows us to explicitly control key morphological aspects of the acoustic scene and isolate their impact on the performance of the system under evaluation. Thus, more information can be gained on the behavior of evaluated systems, providing guidance for further improvements. The proposed model is validated using submitted systems from the IEEE DCASE Challenge; results indicate that the proposed scheme is able to successfully build datasets useful for evaluating some aspects the performance of event detection systems, more particularly their robustness to new listening conditions and the increasing level of background sounds.